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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/user/fmeyer"><title>BibSonomy bookmarks for /user/fmeyer</title><link>https://www.bibsonomy.org/user/fmeyer</link><description>BibSonomy RSS Feed for /user/fmeyer</description><items><rdf:Seq><rdf:li rdf:resource="http://liinwww.ira.uka.de/bibliography/index.html"/><rdf:li rdf:resource="http://www.teses.usp.br/teses/disponiveis/55/55134/tde-19082004-092311/"/><rdf:li rdf:resource="http://www.teses.usp.br/teses/disponiveis/55/55134/tde-11052004-103808/"/><rdf:li rdf:resource="http://mloss.org/about/"/><rdf:li rdf:resource="http://isp.imm.dtu.dk/thor/projects/multimedia/textmining/node11.html"/><rdf:li rdf:resource="http://www.cs.technion.ac.il/~gabr/resources/atc/atcbib.html"/><rdf:li rdf:resource="http://en.wikipedia.org/wiki/Concept_Mining"/><rdf:li rdf:resource="http://leenissen.dk/fann/"/><rdf:li rdf:resource="http://www.simbrain.net/index.html"/><rdf:li rdf:resource="http://designreviver.com/freebies/300-vintage-style-textures-and-photoshop-brushes"/><rdf:li rdf:resource="https://ci-bayes.dev.java.net/classifier.py"/><rdf:li rdf:resource="https://ci-bayes.dev.java.net/"/><rdf:li rdf:resource="http://www.theserverside.com/news/thread.tss?thread_id=49773"/><rdf:li rdf:resource="http://brightbyte.de/page/WikiWord/Excerpt"/><rdf:li rdf:resource="http://brightbyte.de/page/WikiWord_thesis"/><rdf:li rdf:resource="http://www.linguateca.pt/HAREM/"/><rdf:li rdf:resource="http://poloxldb.linguateca.pt/harem.php?l=publicacoes"/><rdf:li rdf:resource="http://web.media.mit.edu/~hugo/conceptnet/"/><rdf:li rdf:resource="http://www.ra.cs.uni-tuebingen.de/software/JavaNNS/welcome_e.html"/><rdf:li rdf:resource="http://www.scielo.br/scielo.php?script=sci_arttext&amp;pid=S0102-44502002000300008"/></rdf:Seq></items></channel><item rdf:about="http://liinwww.ira.uka.de/bibliography/index.html"><title>The Collection of Computer Science Bibliographies</title><description>This is a collection of bibliographies of scientific literature in computer science from various sources, covering most aspects of computer science. 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At the same time, the field of machine learning has developed a large body of powerful learning algorithms for a wide[...]&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/algorithms"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/code"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/collection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/directory"/><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/machine-learning"/></rdf:Bag></taxo:topics></item><item rdf:about="http://isp.imm.dtu.dk/thor/projects/multimedia/textmining/node11.html"><title>Introduction: Document Classification</title><description>Unsupervised Document Classification and Supervised Document Classification</description><link>http://isp.imm.dtu.dk/thor/projects/multimedia/textmining/node11.html</link><dc:creator>fmeyer</dc:creator><dc:date>2008-06-22T20:28:52+02:00</dc:date><dc:subject>ai bayesian classification clustering datamining document </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Unsupervised Document Classification and Supervised Document Classification&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ai"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bayesian"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/clustering"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/document"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.cs.technion.ac.il/~gabr/resources/atc/atcbib.html"><title>Bibliography on Automated Text Categorization</title><description>This is a large online bibliography on automated text categorization (ATC). You can either view it or download it as a single file (ASCII text in BibTex format) or access the fully searchable online version.</description><link>http://www.cs.technion.ac.il/~gabr/resources/atc/atcbib.html</link><dc:creator>fmeyer</dc:creator><dc:date>2008-06-22T20:24:05+02:00</dc:date><dc:subject></dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;This is a large online bibliography on automated text categorization (ATC). You can either view it or download it as a single file (ASCII text in BibTex format) or access the fully searchable online version.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag></rdf:Bag></taxo:topics></item><item rdf:about="http://en.wikipedia.org/wiki/Concept_Mining"><title>Concept mining - Wikipedia, the free encyclopedia</title><description>Concept mining is a discipline at the nexus of data mining, text mining, and linguistics, drawing on artificial intelligence and statistics. 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It aims to extract concepts from documents.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/algorithm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/analysis"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/machine-learning"/></rdf:Bag></taxo:topics></item><item rdf:about="http://leenissen.dk/fann/"><title>Fast Artificial Neural Network Library</title><description>Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution</description><link>http://leenissen.dk/fann/</link><dc:creator>fmeyer</dc:creator><dc:date>2008-06-22T19:53:11+02:00</dc:date><dc:subject>ai algorithm library neural neuralnetworks opensource programming python software </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ai"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/algorithm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/library"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/neural"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/neuralnetworks"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/opensource"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/programming"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/python"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/software"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.simbrain.net/index.html"><title>Simbrain</title><description>SIMBRAIN is a free tool for building, running, and analyzing neural-networks (computer simulations of brain circuitry). Simbrain aims to be as visual and easy-to-use as possible.</description><link>http://www.simbrain.net/index.html</link><dc:creator>fmeyer</dc:creator><dc:date>2008-06-22T14:00:25+02:00</dc:date><dc:subject>ai java neural neuralnetworks simulator software </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;SIMBRAIN is a free tool for building, running, and analyzing neural-networks (computer simulations of brain circuitry). Simbrain aims to be as visual and easy-to-use as possible.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ai"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/java"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/neural"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/neuralnetworks"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/simulator"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/software"/></rdf:Bag></taxo:topics></item><item rdf:about="http://designreviver.com/freebies/300-vintage-style-textures-and-photoshop-brushes"><title>300+ Vintage Style Textures and Photoshop Brushes | Design Reviver</title><description>Vintage design, when done well, can make a user feel like they have been transported back in time. 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This particular style often uses design elements that look like they were found in the attic of an old house dating back to the 1920’s, 30’s, or 40’s.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/art"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/blog"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/collection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/cool"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/css"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/design"/></rdf:Bag></taxo:topics></item><item rdf:about="https://ci-bayes.dev.java.net/classifier.py"><title>https://ci-bayes.dev.java.net/classifier.py</title><description></description><link>https://ci-bayes.dev.java.net/classifier.py</link><dc:creator>fmeyer</dc:creator><dc:date>2008-06-21T17:19:03+02:00</dc:date><dc:subject></dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2008-06-21T17:19:03+02:00&#034; href=&#034;https://ci-bayes.dev.java.net/classifier.py&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://ci-bayes.dev.java.net/classifier.py&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag></rdf:Bag></taxo:topics></item><item rdf:about="https://ci-bayes.dev.java.net/"><title>ci-bayes: Home</title><description>This project contains Naive and Fishers bayesian classifiers, as described in Toby Segaran&#039;s book &#034;Programming Collective Intelligence.&#034; The book has python implementations; this is a Java implementation.</description><link>https://ci-bayes.dev.java.net/</link><dc:creator>fmeyer</dc:creator><dc:date>2008-06-21T17:18:35+02:00</dc:date><dc:subject>ai algorithms bayes bayesian classification classifier datamining framework java library </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;This project contains Naive and Fishers bayesian classifiers, as described in Toby Segaran&amp;#039;s book &amp;#034;Programming Collective Intelligence.&amp;#034; The book has python implementations; this is a Java implementation.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ai"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/algorithms"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bayes"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bayesian"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classifier"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/framework"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/java"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/library"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.theserverside.com/news/thread.tss?thread_id=49773"><title>Java Bayesian Classifier ci-bayes 1.0 released</title><description>ci-bayes, a project hosted on java.net, has released its first stable version. ci-bayes allows the use of a classifier to determine what classification a given object might fall into, given prior training, and provides multiple</description><link>http://www.theserverside.com/news/thread.tss?thread_id=49773</link><dc:creator>fmeyer</dc:creator><dc:date>2008-06-21T17:17:44+02:00</dc:date><dc:subject>bayesian classification classifier java </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;ci-bayes, a project hosted on java.net, has released its first stable version. ci-bayes allows the use of a classifier to determine what classification a given object might fall into, given prior training, and provides multiple&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bayesian"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classifier"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/java"/></rdf:Bag></taxo:topics></item><item rdf:about="http://brightbyte.de/page/WikiWord/Excerpt"><title>WikiWord/Excerpt - BrightByte</title><description>English translation of selected chapters of the WikiWord thesis &#034;Automatischer Aufbau eines multilingualen Thesaurus durch Extraktion semantischer und lexikalischer Relationen aus der Wikipedia&#034; by Daniel Kinzler. Translation by the author.</description><link>http://brightbyte.de/page/WikiWord/Excerpt</link><dc:creator>fmeyer</dc:creator><dc:date>2008-06-21T16:29:52+02:00</dc:date><dc:subject>classification content wikipedia </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;English translation of selected chapters of the WikiWord thesis &amp;#034;Automatischer Aufbau eines multilingualen Thesaurus durch Extraktion semantischer und lexikalischer Relationen aus der Wikipedia&amp;#034; by Daniel Kinzler. Translation by the author.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/content"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/wikipedia"/></rdf:Bag></taxo:topics></item><item rdf:about="http://brightbyte.de/page/WikiWord_thesis"><title>WikiWord thesis - BrightByte</title><description>My diploma thesis about a system to automatically build a multilingual thesaurus from wikipedia, &#034;WikiWord&#034;, is finally done. I handed it in yesterday. 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My research will hopefully help to make Wikipedia more accessible for automatic processing&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/content"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.linguateca.pt/HAREM/"><title>Linguateca harem</title><description>Ferramentas computacionais para o português</description><link>http://www.linguateca.pt/HAREM/</link><dc:creator>fmeyer</dc:creator><dc:date>2008-06-21T07:08:57+02:00</dc:date><dc:subject>harem project projects </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Ferramentas computacionais para o português&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/harem"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/project"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/projects"/></rdf:Bag></taxo:topics></item><item rdf:about="http://poloxldb.linguateca.pt/harem.php?l=publicacoes"><title>HAREM - Avaliação de Reconhecimento de Entidades Mencionadas</title><description>Aqui estão publicados os artigos e posters relativos ao HAREM.</description><link>http://poloxldb.linguateca.pt/harem.php?l=publicacoes</link><dc:creator>fmeyer</dc:creator><dc:date>2008-06-21T07:07:40+02:00</dc:date><dc:subject>HAREM ia </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Aqui estão publicados os artigos e posters relativos ao HAREM.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/HAREM"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ia"/></rdf:Bag></taxo:topics></item><item rdf:about="http://web.media.mit.edu/~hugo/conceptnet/"><title>ConceptNet</title><description>ConceptNet is a freely available commonsense knowledgebase and natural-language-processing toolkit which supports many practical textual-reasoning tasks over real-world documents right out-of-the-box (without additional statistical training) including</description><link>http://web.media.mit.edu/~hugo/conceptnet/</link><dc:creator>fmeyer</dc:creator><dc:date>2008-06-21T07:02:11+02:00</dc:date><dc:subject>ai algorithms app application applications apps blog brain language nlp ontology semantic </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;ConceptNet is a freely available commonsense knowledgebase and natural-language-processing toolkit which supports many practical textual-reasoning tasks over real-world documents right out-of-the-box (without additional statistical training) including&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ai"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/algorithms"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/app"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/application"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/applications"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/apps"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/blog"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/brain"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/language"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/nlp"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ontology"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/semantic"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.ra.cs.uni-tuebingen.de/software/JavaNNS/welcome_e.html"><title>University of Tübingen: JavaNNS</title><description>JavaNNS is the successor of SNNS. It is based on its computing kernel, with a newly developed, comfortable graphical user interface written in Java set on top of it. Hence the compatibility with SNNS is achieved, while the platform-independence is increa</description><link>http://www.ra.cs.uni-tuebingen.de/software/JavaNNS/welcome_e.html</link><dc:creator>fmeyer</dc:creator><dc:date>2008-06-21T06:57:53+02:00</dc:date><dc:subject>datamining java network neural simulation </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;JavaNNS is the successor of SNNS. It is based on its computing kernel, with a newly developed, comfortable graphical user interface written in Java set on top of it. Hence the compatibility with SNNS is achieved, while the platform-independence is increa&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/java"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/network"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/neural"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/simulation"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.scielo.br/scielo.php?script=sci_arttext&amp;pid=S0102-44502002000300008"><title>DELTA: Documentação de Estudos em Lingüística Teórica e Aplicada - Portuguese WordNet: general architecture and internal semantic relations</title><description>Portuguese WordNet: general architecture and internal semantic relations</description><link>http://www.scielo.br/scielo.php?script=sci_arttext&amp;pid=S0102-44502002000300008</link><dc:creator>fmeyer</dc:creator><dc:date>2008-06-21T06:57:17+02:00</dc:date><dc:subject>portugues semantica wordnet </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Portuguese WordNet: general architecture and internal semantic relations&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/portugues"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/semantica"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/wordnet"/></rdf:Bag></taxo:topics></item></rdf:RDF>