mathstodon.xyz is one of the many independent Mastodon servers you can use to participate in the fediverse.
A Mastodon instance for maths people. We have LaTeX rendering in the web interface!

Server stats:

2.7K
active users

#svm

0 posts0 participants0 posts today
ASX Mkt. Sensitive<p>Sovereign Metals ( <a href="https://mastodon-grafa.social/tags/SVM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SVM</span></a> ) has released " March 2025 Quarterly Report " on Wed 30 Apr at 08:47 AEST <a href="https://mastodon-grafa.social/tags/Inflation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Inflation</span></a> <a href="https://mastodon-grafa.social/tags/tax" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tax</span></a> <a href="https://mastodon-grafa.social/tags/ESG" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ESG</span></a> <a href="https://mastodon-grafa.social/tags/government" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>government</span></a> <a href="https://mastodon-grafa.social/tags/China" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>China</span></a> <br><a href="https://grafa.com/asset/sovereign-metals-ltd-10166-svm.asx?utm_source=asxmktsensitive&amp;utm_medium=mastodon&amp;utm_campaign=svm.asx" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">grafa.com/asset/sovereign-meta</span><span class="invisible">ls-ltd-10166-svm.asx?utm_source=asxmktsensitive&amp;utm_medium=mastodon&amp;utm_campaign=svm.asx</span></a></p>
💧🌏 Greg Cocks<p>Avalanche Debris Detection From Sentinel-2 Data Using Fuzzy Machine Learning And Colour Spaces For The Indian Himalaya<br>--<br><a href="https://doi.org/10.1080/2150704X.2025.2488532" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1080/2150704X.2025.</span><span class="invisible">2488532</span></a> &lt;-- shared paper<br>--<br><a href="https://techhub.social/tags/GIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GIS</span></a> <a href="https://techhub.social/tags/spatial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spatial</span></a> <a href="https://techhub.social/tags/mapping" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mapping</span></a> <a href="https://techhub.social/tags/snowavalanches" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>snowavalanches</span></a> <a href="https://techhub.social/tags/snow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>snow</span></a> <a href="https://techhub.social/tags/avalanches" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>avalanches</span></a> <a href="https://techhub.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> <a href="https://techhub.social/tags/fuzzyclassification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>fuzzyclassification</span></a> <a href="https://techhub.social/tags/SVM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SVM</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/randomforest" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>randomforest</span></a> <a href="https://techhub.social/tags/model" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>model</span></a> <a href="https://techhub.social/tags/modeling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modeling</span></a> <a href="https://techhub.social/tags/forecasting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>forecasting</span></a> <a href="https://techhub.social/tags/risk" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>risk</span></a> <a href="https://techhub.social/tags/hazard" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hazard</span></a> <a href="https://techhub.social/tags/massmovement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>massmovement</span></a> <a href="https://techhub.social/tags/engineeringgeology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>engineeringgeology</span></a> <a href="https://techhub.social/tags/remotesensing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>remotesensing</span></a> <a href="https://techhub.social/tags/earthobservation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>earthobservation</span></a> <a href="https://techhub.social/tags/imagery" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>imagery</span></a> <a href="https://techhub.social/tags/spatialanalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spatialanalysis</span></a> <a href="https://techhub.social/tags/spatiotemporal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spatiotemporal</span></a> <a href="https://techhub.social/tags/change" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>change</span></a> <a href="https://techhub.social/tags/debris" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>debris</span></a> <a href="https://techhub.social/tags/detection" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>detection</span></a> <a href="https://techhub.social/tags/satellite" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>satellite</span></a> <a href="https://techhub.social/tags/sentinel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>sentinel</span></a> <a href="https://techhub.social/tags/Himalaya" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Himalaya</span></a> <a href="https://techhub.social/tags/Himalayas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Himalayas</span></a> <a href="https://techhub.social/tags/performance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>performance</span></a></p>
Fiona Gregory<p>This series of videos on machine learning algorithms (Lab a through Lab d, so far) by Courage Kamusoko are the best explanations I've seen yet. How the models actually work, their strengths and weaknesses, what you are actually solving for when you tune the hyperparameters, and examples in Python. <a href="https://www.youtube.com/@couragekamusoko5689/videos" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/@couragekamusoko56</span><span class="invisible">89/videos</span></a><br><a href="https://mapstodon.space/tags/SVM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SVM</span></a> <a href="https://mapstodon.space/tags/KNN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KNN</span></a> <a href="https://mapstodon.space/tags/DecisionTree" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DecisionTree</span></a> <a href="https://mapstodon.space/tags/RandomForest" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RandomForest</span></a></p>
zartom<p>ANN vs. SVM: When to Choose Artificial Neural Networks Over Support Vector Machines<br>ANNs are great for complex relationships but can be slow. SVMs are faster in high dimensions and less prone to errors with complex data. Which is better depends on your task and data. <a href="https://mastodon.social/tags/ANN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ANN</span></a> <a href="https://mastodon.social/tags/SVM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SVM</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> <a href="https://mastodon.social/tags/Comparison" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Comparison</span></a><br><a href="https://tech-champion.com/artificial-intelligence/ann-vs-svm-when-to-choose-artificial-neural-networks-over-support-vector-machines/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">tech-champion.com/artificial-i</span><span class="invisible">ntelligence/ann-vs-svm-when-to-choose-artificial-neural-networks-over-support-vector-machines/</span></a><br>Comparing ANN and...</p>
zartom<p>ANN vs. SVM: When to Choose Artificial Neural Networks Over Support Vector Machines<br>ANNs are great for complex relationships but can be slow. SVMs are faster in high dimensions and less prone to errors with complex data. Which is better depends on your task and data. <a href="https://mastodon.social/tags/ANN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ANN</span></a> <a href="https://mastodon.social/tags/SVM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SVM</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> <a href="https://mastodon.social/tags/Comparison" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Comparison</span></a><br><a href="https://tech-champion.com/artificial-intelligence/ann-vs-svm-when-to-choose-artificial-neural-networks-over-support-vector-machines/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">tech-champion.com/artificial-i</span><span class="invisible">ntelligence/ann-vs-svm-when-to-choose-artificial-neural-networks-over-support-vector-machines/</span></a><br>Comparing ANN and...</p>
elaprendiz0000<p>**Tweet en inglés:**</p><p>🚀 Dive into the world of Support Vector Machines (SVM) with this step-by-step Python tutorial. 🐍📊 Learn the theory, see it in action, and master classification with real data. Start here 👉 <a href="https://elaprendiz0000.blogspot.com/2025/01/understanding-support-vector-machines.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">elaprendiz0000.blogspot.com/20</span><span class="invisible">25/01/understanding-support-vector-machines.html</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> <a href="https://mastodon.social/tags/SVM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SVM</span></a> <a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a></p>
Thorsten Leemhuis (acct. 1/4)<p>"'[…] <a href="https://fosstodon.org/tags/git" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>git</span></a> was created as a tool to unblock future <a href="https://fosstodon.org/tags/Linux" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Linux</span></a> <a href="https://fosstodon.org/tags/kernel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>kernel</span></a> releases — not intended as a global reinvention of all source code management; Linus’s comments highlight that he explicitly saw source code management as the domain of other tools that would then interface with git. […]'"</p><p><a href="https://graphite.dev/blog/bitkeeper-linux-story-of-git-creation" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">graphite.dev/blog/bitkeeper-li</span><span class="invisible">nux-story-of-git-creation</span></a></p><p><a href="https://fosstodon.org/tags/LinuxKernel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LinuxKernel</span></a> <a href="https://fosstodon.org/tags/svm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>svm</span></a> <a href="https://fosstodon.org/tags/vcs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vcs</span></a></p>
Bolztribüne<p><strong>Alle Bundesliga-Transfers 2024/25</strong></p><p>von Nina Potzel</p><p>Wer kommt? Wer geht? Wer verlängert? Hier aktualisieren wir laufend die Transfers und Vertragsverlängerungen der Teams in der Bundesliga der Frauen.Stand: 31. Juli 2024, 17:52 Uhr </p><p>Die Teams<br>Toggle<br>FC Bayern MünchenVfL WolfsburgEintracht FrankfurtSGS EssenTSG HoffenheimBayer 04 LeverkusenSV Werder BremenRB LeipzigSC Freiburg1. FC Köln1. FC […]</p><p><a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/bundesliga-frauen/" target="_blank">#BundesligaFrauen</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/dieliga/" target="_blank">#DieLiga</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/fcb/" target="_blank">#FCB</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/fcc/" target="_blank">#FCC</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/fcn/" target="_blank">#FCN</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/fussball-der-frauen/" target="_blank">#FußballDerFrauen</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/hsv/" target="_blank">#HSV</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/koe/" target="_blank">#KOE</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/lev/" target="_blank">#LEV</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/msv/" target="_blank">#MSV</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/pdm/" target="_blank">#PDM</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/raba/" target="_blank">#RaBa</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/scf/" target="_blank">#SCF</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/sge/" target="_blank">#SGE</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/sgs/" target="_blank">#SGS</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/spielerinnen/" target="_blank">#SpielerInnen</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/svm/" target="_blank">#SVM</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/svw/" target="_blank">#SVW</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/transfers/" target="_blank">#Transfers</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/tsg/" target="_blank">#TSG</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/turbine-potsdam/" target="_blank">#TurbinePotsdam</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://bolztribuene.de/tag/wob/" target="_blank">#WOB</a></p><p><a href="https://bolztribuene.de/2024/05/07/bundesliga-transfers-2024-25/" class="" rel="nofollow noopener noreferrer" target="_blank">https://bolztribuene.de/2024/05/07/bundesliga-transfers-2024-25/</a></p>
RDN<p>A comparison of the performance of multiple machine learning methods for the prediction of ovarian cancer found that Support Vector Machines performed best: <a href="https://www.sciencedirect.com/science/article/pii/S2405844024052289?dgcid=rss_sd_all" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">sciencedirect.com/science/arti</span><span class="invisible">cle/pii/S2405844024052289?dgcid=rss_sd_all</span></a>.</p><p><a href="https://floss.social/tags/Statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Statistics</span></a> <a href="https://floss.social/tags/SVM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SVM</span></a> <a href="https://floss.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a></p>
Kevin Karhan :verified:<p><span class="h-card" translate="no"><a href="https://social.restless.systems/@ncommander" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>ncommander</span></a></span> yeah, a lot of people.claim <a href="https://infosec.space/tags/ZFS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ZFS</span></a> is so good because prior to it, it was too easy to irreversibly hose a <a href="https://infosec.space/tags/Solaris" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Solaris</span></a> setup as <a href="https://infosec.space/tags/svm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>svm</span></a> (the Solaris Volume Manager) was just garbage <em>AND</em> patches on Solaris are a nightmare, so just Snapshotting and Restoring is the simplest way to Backup and Restore a System...</p>
Chema Alonso :verified:<p>El lado del mal - “Attention is all you need”: La investigación que revolucionó la Inteligencia Artificial con los Transformers (Parte 2) <a href="https://elladodelmal.com/2024/01/attention-is-all-you-need-la_01380413382.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">elladodelmal.com/2024/01/atten</span><span class="invisible">tion-is-all-you-need-la_01380413382.html</span></a> <a href="https://ioc.exchange/tags/IA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IA</span></a> <a href="https://ioc.exchange/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://ioc.exchange/tags/Transformers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Transformers</span></a> <a href="https://ioc.exchange/tags/GenAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenAI</span></a> <a href="https://ioc.exchange/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenerativeAI</span></a> <a href="https://ioc.exchange/tags/InteligenciaArtificial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>InteligenciaArtificial</span></a> <a href="https://ioc.exchange/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://ioc.exchange/tags/GAN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GAN</span></a> <a href="https://ioc.exchange/tags/RNN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RNN</span></a> <a href="https://ioc.exchange/tags/CNN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CNN</span></a> <a href="https://ioc.exchange/tags/SVM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SVM</span></a> <a href="https://ioc.exchange/tags/Historia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Historia</span></a></p>
Chema Alonso :verified:<p>El lado del mal - “Attention is all you need”: La investigación que revolucionó la Inteligencia Artificial con los Transformers (Parte 1) <a href="https://www.elladodelmal.com/2024/01/attention-is-all-you-need-la.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">elladodelmal.com/2024/01/atten</span><span class="invisible">tion-is-all-you-need-la.html</span></a> <a href="https://ioc.exchange/tags/IA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IA</span></a> <a href="https://ioc.exchange/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://ioc.exchange/tags/Transformers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Transformers</span></a> <a href="https://ioc.exchange/tags/GenAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenAI</span></a> <a href="https://ioc.exchange/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenerativeAI</span></a> <a href="https://ioc.exchange/tags/InteligenciaArtificial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>InteligenciaArtificial</span></a> <a href="https://ioc.exchange/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://ioc.exchange/tags/GAN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GAN</span></a> <a href="https://ioc.exchange/tags/RNN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RNN</span></a> <a href="https://ioc.exchange/tags/CNN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CNN</span></a> <a href="https://ioc.exchange/tags/SVM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SVM</span></a> <a href="https://ioc.exchange/tags/Historia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Historia</span></a></p>
JMLR<p>'Leaky Hockey Stick Loss: The First Negatively Divergent Margin-based Loss Function for Classification', by Oh-Ran Kwon, Hui Zou.</p><p><a href="http://jmlr.org/papers/v24/22-1104.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v24/22-1104.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/classifier" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classifier</span></a> <a href="https://sigmoid.social/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classification</span></a> <a href="https://sigmoid.social/tags/svm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>svm</span></a></p>
nope<p>Introduction To Machine Learning<br>(2008) : Shashua, Amnon<br>isbn: 9781627037471<br><a href="https://mastodon.social/tags/clustering" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>clustering</span></a> <a href="https://mastodon.social/tags/text_book" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>text_book</span></a> <a href="https://mastodon.social/tags/SVM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SVM</span></a> <a href="https://mastodon.social/tags/probability" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>probability</span></a> <a href="https://mastodon.social/tags/machine_learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machine_learning</span></a> <a href="https://mastodon.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.social/tags/my_bibtex" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>my_bibtex</span></a></p>
Victoria Stuart 🇨🇦 🏳️‍⚧️<p>Addendum 9</p><p>Transformers as Support Vector Machines<br><a href="https://arxiv.org/abs/2308.16898" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2308.16898</span><span class="invisible"></span></a><br>Discussion: <a href="https://news.ycombinator.com/item?id=37367951" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">news.ycombinator.com/item?id=3</span><span class="invisible">7367951</span></a></p><p>* Support vector machine: <a href="https://en.wikipedia.org/wiki/Support_vector_machine" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">en.wikipedia.org/wiki/Support_</span><span class="invisible">vector_machine</span></a><br>* transformer as a "different kind of SVM" - SVM that separates "good" tokens within ea. input sequence f. "bad" tokens<br>* SVM serves as a good-token-selector<br>* inherently different f. traditional SVM which assigns 0-1 label to inputs</p><p><a href="https://mastodon.social/tags/transformers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>transformers</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/attention" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>attention</span></a> <a href="https://mastodon.social/tags/SVM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SVM</span></a></p>
Alexey Skobkin<p>Люблю когда статьи пишут люди, которые понимают, о чём говорят 👍</p><p><a href="https://lor.sh/tags/fun" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>fun</span></a> <a href="https://lor.sh/tags/pic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pic</span></a> <a href="https://lor.sh/tags/AMD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AMD</span></a> <a href="https://lor.sh/tags/SVM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SVM</span></a> <a href="https://lor.sh/tags/VM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>VM</span></a> <a href="https://lor.sh/tags/log" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>log</span></a></p>
nope<p>Neural networks<br>(1999) : Kubat, Miroslav<br>DOI: <a href="https://doi.org/10.1017/S0269888998214044" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1017/S0269888998214</span><span class="invisible">044</span></a><br><a href="https://mastodon.social/tags/SVM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SVM</span></a> <a href="https://mastodon.social/tags/text_book" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>text_book</span></a> <a href="https://mastodon.social/tags/machine_learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machine_learning</span></a> <a href="https://mastodon.social/tags/math" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>math</span></a> <a href="https://mastodon.social/tags/neural_network" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neural_network</span></a> <a href="https://mastodon.social/tags/my_bibtex" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>my_bibtex</span></a></p>
nope<p>Neural networks<br>(1999) : Kubat, Miroslav<br>DOI: <a href="https://doi.org/10.1017/S0269888998214044" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1017/S0269888998214</span><span class="invisible">044</span></a><br><a href="https://mastodon.social/tags/math" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>math</span></a> <a href="https://mastodon.social/tags/SVM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SVM</span></a> <a href="https://mastodon.social/tags/machine_learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machine_learning</span></a> <a href="https://mastodon.social/tags/text_book" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>text_book</span></a> <a href="https://mastodon.social/tags/neural_network" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neural_network</span></a> <a href="https://mastodon.social/tags/my_bibtex" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>my_bibtex</span></a></p>
nope<p>Neural networks<br>(1999) : Kubat, Miroslav<br>DOI: <a href="https://doi.org/10.1017/S0269888998214044" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1017/S0269888998214</span><span class="invisible">044</span></a><br><a href="https://mastodon.social/tags/machine_learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machine_learning</span></a> <a href="https://mastodon.social/tags/SVM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SVM</span></a> <a href="https://mastodon.social/tags/neural_network" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neural_network</span></a> <a href="https://mastodon.social/tags/math" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>math</span></a> <a href="https://mastodon.social/tags/text_book" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>text_book</span></a> <a href="https://mastodon.social/tags/my_bibtex" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>my_bibtex</span></a></p>
nope<p>Introduction To Machine Learning<br>(2008) : Shashua, Amnon<br>isbn: 9781627037471<br><a href="https://mastodon.social/tags/clustering" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>clustering</span></a> <a href="https://mastodon.social/tags/probability" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>probability</span></a> <a href="https://mastodon.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.social/tags/SVM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SVM</span></a> <a href="https://mastodon.social/tags/machine_learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machine_learning</span></a> <a href="https://mastodon.social/tags/text_book" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>text_book</span></a> <a href="https://mastodon.social/tags/my_bibtex" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>my_bibtex</span></a></p>