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<rdf:RDF xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"><channel rdf:about="https://www.bibsonomy.org/concept/user/jil/machine"><title>BibSonomy bookmarks for /concept/user/jil/machine</title><link>https://www.bibsonomy.org/concept/user/jil/machine</link><description>BibSonomy RSS Feed for /concept/user/jil/machine</description><items><rdf:Seq><rdf:li rdf:resource="https://superuser.com/questions/1161038/exclude-folders-by-regex-from-time-machine-backup"/><rdf:li rdf:resource="https://github.com/karpathy/randomfun/blob/master/knn_vs_svm.ipynb"/><rdf:li rdf:resource="http://scikit-learn.org/"/><rdf:li rdf:resource="http://cseweb.ucsd.edu/~dkauchak/mt-tutorial/"/><rdf:li rdf:resource="http://www.dagm.de/ausschreibungen/deutscher-mustererkennungspreis/"/><rdf:li rdf:resource="http://stats.stackexchange.com/questions/24437/advantages-and-disadvantages-of-svm"/><rdf:li rdf:resource="http://www.no-free-lunch.org/"/><rdf:li rdf:resource="http://svmlight.joachims.org/"/><rdf:li rdf:resource="http://www.ims.uni-stuttgart.de/projekte/tt-in-mt/pub.html.de"/><rdf:li rdf:resource="http://www.ims.uni-stuttgart.de/projekte/gramotron/SOFTWARE/SFST.html"/><rdf:li rdf:resource="http://en.wikipedia.org/wiki/Support_vector_machine"/><rdf:li rdf:resource="http://www.num.uni-sb.de/iam/veroeffentlichungen/downloads/abschlussarbeiten/diplom_bechtel.pdf"/><rdf:li rdf:resource="http://www.tristanfletcher.co.uk/SVM%20Explained.pdf"/><rdf:li rdf:resource="http://wiki.apertium.org/wiki/Foma"/><rdf:li rdf:resource="http://code.google.com/p/cleartk/"/><rdf:li rdf:resource="http://www.csie.ntu.edu.tw/~cjlin/libsvm/"/><rdf:li rdf:resource="http://nlp.stanford.edu/IR-book/html/htmledition/evaluation-of-text-classification-1.html"/><rdf:li rdf:resource="http://alban.galland.free.fr/serendipity/index.php?/archives/2-Symbolic-Learning.html"/><rdf:li rdf:resource="http://lmb.informatik.uni-freiburg.de/lectures/svm_seminar/svm-multiclass.pdf"/><rdf:li rdf:resource="http://hunch.net/?p=29"/></rdf:Seq></items></channel><item rdf:about="https://superuser.com/questions/1161038/exclude-folders-by-regex-from-time-machine-backup"><title>macos - Exclude folders by regex (?) from time machine backup - Super User</title><description>$ find `pwd` -maxdepth 3 -type d -name &#039;node_modules&#039; | xargs -n 1 tmutil addexclusion</description><link>https://superuser.com/questions/1161038/exclude-folders-by-regex-from-time-machine-backup</link><dc:creator>jil</dc:creator><dc:date>2025-07-31T10:50:16+02:00</dc:date><dc:subject>backup exclude exclusion find machine macos time </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;$ find `pwd` -maxdepth 3 -type d -name &amp;#039;node_modules&amp;#039; | xargs -n 1 tmutil addexclusion&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/backup"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/exclude"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/exclusion"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/find"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/machine"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/macos"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/time"/></rdf:Bag></taxo:topics></item><item rdf:about="https://github.com/karpathy/randomfun/blob/master/knn_vs_svm.ipynb"><title>randomfun/knn_vs_svm.ipynb at master · karpathy/randomfun · GitHub</title><description>A very common workflow is to index some data based on its embeddings and then given a new query embedding retrieve the most similar examples with k-Nearest Neighbor search. For example, you can imagine embedding a large collection of papers by their abstracts and then given a new paper of interest retrieve the most similar papers to it.

TLDR in my experience it ~always works better to use an SVM instead of kNN, if you can afford the slight computational hit</description><link>https://github.com/karpathy/randomfun/blob/master/knn_vs_svm.ipynb</link><dc:creator>jil</dc:creator><dc:date>2023-11-15T16:18:31+01:00</dc:date><dc:subject>knn most qa ranking similar svm vector </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;A very common workflow is to index some data based on its embeddings and then given a new query embedding retrieve the most similar examples with k-Nearest Neighbor search. For example, you can imagine embedding a large collection of papers by their abstracts and then given a new paper of interest retrieve the most similar papers to it.

TLDR in my experience it ~always works better to use an SVM instead of kNN, if you can afford the slight computational hit&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/knn"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/most"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/qa"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ranking"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/similar"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/svm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/vector"/></rdf:Bag></taxo:topics></item><item rdf:about="http://scikit-learn.org/"><title>scikit-learn: machine learning in Python — scikit-learn 0.17 documentation</title><description></description><link>http://scikit-learn.org/</link><dc:creator>jil</dc:creator><dc:date>2015-12-12T21:13:49+01:00</dc:date><dc:subject>classifier clustering learning library machine python regression </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2015-12-12T21:13:49+01:00&#034; href=&#034;http://scikit-learn.org/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://scikit-learn.org/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classifier"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/clustering"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/library"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/machine"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/python"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/regression"/></rdf:Bag></taxo:topics></item><item rdf:about="http://cseweb.ucsd.edu/~dkauchak/mt-tutorial/"><title>Statistical Machine Translation Tutorial</title><description></description><link>http://cseweb.ucsd.edu/~dkauchak/mt-tutorial/</link><dc:creator>jil</dc:creator><dc:date>2015-02-27T19:20:22+01:00</dc:date><dc:subject>machine mt translation tutorial </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2015-02-27T19:20:22+01:00&#034; href=&#034;http://cseweb.ucsd.edu/~dkauchak/mt-tutorial/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://cseweb.ucsd.edu/~dkauchak/mt-tutorial/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/machine"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mt"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/translation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/tutorial"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.dagm.de/ausschreibungen/deutscher-mustererkennungspreis/"><title>Deutscher Mustererkennungspreis</title><description></description><link>http://www.dagm.de/ausschreibungen/deutscher-mustererkennungspreis/</link><dc:creator>jil</dc:creator><dc:date>2014-05-06T13:49:05+02:00</dc:date><dc:subject>informatik learning machine pattern preis </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2014-05-06T13:49:05+02:00&#034; href=&#034;http://www.dagm.de/ausschreibungen/deutscher-mustererkennungspreis/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://www.dagm.de/ausschreibungen/deutscher-mustererkennungspreis/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/informatik"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/machine"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/pattern"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/preis"/></rdf:Bag></taxo:topics></item><item rdf:about="http://stats.stackexchange.com/questions/24437/advantages-and-disadvantages-of-svm"><title>machine learning - Advantages and disadvantages of SVM - Cross Validated</title><description></description><link>http://stats.stackexchange.com/questions/24437/advantages-and-disadvantages-of-svm</link><dc:creator>jil</dc:creator><dc:date>2012-11-22T01:21:29+01:00</dc:date><dc:subject>disadvantages feature features ignores ignoring kernel sparse support svm vector </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2012-11-22T01:21:29+01:00&#034; href=&#034;http://stats.stackexchange.com/questions/24437/advantages-and-disadvantages-of-svm&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://stats.stackexchange.com/questions/24437/advantages-and-disadvantages-of-svm&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/disadvantages"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/feature"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/features"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ignores"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ignoring"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/kernel"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/sparse"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/support"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/svm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/vector"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.no-free-lunch.org/"><title>No Free Lunch Theorems</title><description></description><link>http://www.no-free-lunch.org/</link><dc:creator>jil</dc:creator><dc:date>2012-10-29T17:49:59+01:00</dc:date><dc:subject>bias free function learning lunch machine no one other theorems worse </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; 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data-versiondate=&#034;2012-05-04T23:04:32+02:00&#034; href=&#034;http://svmlight.joachims.org/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://svmlight.joachims.org/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/joachims"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/light"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/software"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/svm"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.ims.uni-stuttgart.de/projekte/tt-in-mt/pub.html.de"><title>Tree Transducers in Machine Translation - IMS - UniversitÃ¤t Stuttgart</title><description></description><link>http://www.ims.uni-stuttgart.de/projekte/tt-in-mt/pub.html.de</link><dc:creator>jil</dc:creator><dc:date>2012-03-24T23:50:54+01:00</dc:date><dc:subject>machine mt stuttgart transducer translation tree uni </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2012-03-24T23:50:54+01:00&#034; href=&#034;http://www.ims.uni-stuttgart.de/projekte/tt-in-mt/pub.html.de&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://www.ims.uni-stuttgart.de/projekte/tt-in-mt/pub.html.de&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/machine"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mt"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/stuttgart"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/transducer"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/translation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/tree"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/uni"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.ims.uni-stuttgart.de/projekte/gramotron/SOFTWARE/SFST.html"><title>SFST</title><description></description><link>http://www.ims.uni-stuttgart.de/projekte/gramotron/SOFTWARE/SFST.html</link><dc:creator>jil</dc:creator><dc:date>2011-09-20T23:11:24+02:00</dc:date><dc:subject>finite german machine morphology sfst smor state </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; 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data-versiondate=&#034;2011-05-22T21:19:30+02:00&#034; href=&#034;http://en.wikipedia.org/wiki/Support_vector_machine&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://en.wikipedia.org/wiki/Support_vector_machine&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/formula"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/lagrange"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/maximization"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/minimization"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/svm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/wikipedia"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/wrong"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.num.uni-sb.de/iam/veroeffentlichungen/downloads/abschlussarbeiten/diplom_bechtel.pdf"><title>diplom_bechtel.pdf (application/pdf Object)</title><description></description><link>http://www.num.uni-sb.de/iam/veroeffentlichungen/downloads/abschlussarbeiten/diplom_bechtel.pdf</link><dc:creator>jil</dc:creator><dc:date>2011-05-22T21:13:22+02:00</dc:date><dc:subject>book buch diplomarbeit linear literature optimierung optimization programming quadratic svm </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2011-05-22T21:13:22+02:00&#034; href=&#034;http://www.num.uni-sb.de/iam/veroeffentlichungen/downloads/abschlussarbeiten/diplom_bechtel.pdf&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://www.num.uni-sb.de/iam/veroeffentlichungen/downloads/abschlussarbeiten/diplom_bechtel.pdf&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/book"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/buch"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/diplomarbeit"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/linear"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/literature"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/optimierung"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/optimization"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/programming"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/quadratic"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/svm"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.tristanfletcher.co.uk/SVM%20Explained.pdf"><title>Support Vector Machines Explained</title><description></description><link>http://www.tristanfletcher.co.uk/SVM%20Explained.pdf</link><dc:creator>jil</dc:creator><dc:date>2011-05-22T20:49:46+02:00</dc:date><dc:subject>derivation dual explained explanation good lagrange optimization pdf problem svm tutorial </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; 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data-versiondate=&#034;2010-11-23T00:42:51+01:00&#034; href=&#034;http://code.google.com/p/cleartk/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://code.google.com/p/cleartk/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/cleartk"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/code"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/google"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/java"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/lib"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/nlp"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/svm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/uima"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.csie.ntu.edu.tw/~cjlin/libsvm/"><title>LIBSVM -- A Library for Support Vector Machines</title><description></description><link>http://www.csie.ntu.edu.tw/~cjlin/libsvm/</link><dc:creator>jil</dc:creator><dc:date>2008-04-23T03:29:20+02:00</dc:date><dc:subject>classification lib libsvm svm </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; 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