<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:burst="http://xmlns.com/burst/0.1/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" xmlns="http://purl.org/rss/1.0/" xmlns:admin="http://webns.net/mvcb/" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:swrc="http://swrc.ontoware.org/ontology#" xmlns:cc="http://web.resource.org/cc/"><channel rdf:about="http://www.bibsonomy.org/user/gromgull"><title>BibSonomy publications for /user/gromgull</title><link>http://www.bibsonomy.org/publrss/user/gromgull</link><description>BibSonomy RSS feed for /user/gromgull</description><dc:date>2010-03-13T20:23:43+01:00</dc:date><items><rdf:Seq><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/23eea5e25908487d8bf20e50416a7c4a8/gromgull"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/26caa77816078812e895f82ef43fb8e63/gromgull"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2732030528993b3de7b96d0ec505e70b3/gromgull"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2950894054a390f82476967206d967622/gromgull"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/221c3211780287ca272854a562e545bd9/gromgull"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2f284783360d970803c49bed1246f835a/gromgull"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2dab8456bcedd2474db85a21f0db68cb0/gromgull"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2f8a04f2ba24c72818a34897a80442d47/gromgull"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2d6c03d4a71ce887c03e2eb4f81c29a0c/gromgull"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2af67c1da5575db58d06ec9841aa44bac/gromgull"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/23b807dfe2240b85b52f663a9fa8faf59/gromgull"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/261e3b41aed931e0787e1d2e5e6e59cdc/gromgull"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2c168ad255b8e1042e38e1b55893f4677/gromgull"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2dee160501a04924917d2c8fc93a75d93/gromgull"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/26dbe9434afeaf0a179f47a90496eeac5/gromgull"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/266ce848ffa366295989ae0c68301550f/gromgull"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/20b55e2f3f396f6a2700221005061c4dc/gromgull"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/20cbf20645f609d292bce59d219ef2596/gromgull"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/29228c8db7052bd327f57e616083de583/gromgull"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2ed2fc7d1704435abac02ec1ab6aeca9c/gromgull"/></rdf:Seq></items></channel><item rdf:about="http://www.bibsonomy.org/bibtex/23eea5e25908487d8bf20e50416a7c4a8/gromgull"><title>Joint inference in information extraction</title><link>http://www.bibsonomy.org/bibtex/23eea5e25908487d8bf20e50416a7c4a8/gromgull</link><dc:creator>gromgull</dc:creator><dc:date>2010-01-22T21:37:56+01:00</dc:date><dc:subject>citation-matching joint-inference machine-learning markov-logic-networks </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Hoifung &lt;a href=&#034;http://www.bibsonomy.org/author/Poon&#034;&gt;Poon&lt;/a&gt;  and Pedro &lt;a href=&#034;http://www.bibsonomy.org/author/Domingos&#034;&gt;Domingos&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;AAAI&#039;07: Proceedings of the 22nd national conference on Artificial intelligence, &lt;/em&gt;&lt;em&gt;page 913--918. &lt;/em&gt;&lt;em&gt;AAAI Press, &lt;/em&gt;(&lt;em&gt;2007&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/citation-matching"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/joint-inference"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/machine-learning"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/markov-logic-networks"/></rdf:Bag></taxo:topics><description>Joint inference in information extraction</description></item><item rdf:about="http://www.bibsonomy.org/bibtex/26caa77816078812e895f82ef43fb8e63/gromgull"><title>Combining Labeled and Unlabeled Data with Co-Training</title><link>http://www.bibsonomy.org/bibtex/26caa77816078812e895f82ef43fb8e63/gromgull</link><dc:creator>gromgull</dc:creator><dc:date>2010-01-19T11:13:11+01:00</dc:date><dc:subject>co-training machine-learning meta-learning unsupervised-learning </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Avrim &lt;a href=&#034;http://www.bibsonomy.org/author/Blum&#034;&gt;Blum&lt;/a&gt;  and Tom &lt;a href=&#034;http://www.bibsonomy.org/author/Mitchell&#034;&gt;Mitchell&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;page 92--100. &lt;/em&gt;&lt;em&gt;Morgan Kaufmann Publishers, &lt;/em&gt;(&lt;em&gt;1998&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/co-training"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/machine-learning"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/meta-learning"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/unsupervised-learning"/></rdf:Bag></taxo:topics><description>Combining Labeled and Unlabeled Data with Co-Training</description></item><item rdf:about="http://www.bibsonomy.org/bibtex/2732030528993b3de7b96d0ec505e70b3/gromgull"><title>Discovering word senses from text</title><link>http://www.bibsonomy.org/bibtex/2732030528993b3de7b96d0ec505e70b3/gromgull</link><dc:creator>gromgull</dc:creator><dc:date>2010-01-19T11:10:21+01:00</dc:date><dc:subject>clustering text-mining </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Patrick &lt;a href=&#034;http://www.bibsonomy.org/author/Pantel&#034;&gt;Pantel&lt;/a&gt;  and Dekang &lt;a href=&#034;http://www.bibsonomy.org/author/Lin&#034;&gt;Lin&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, &lt;/em&gt;&lt;em&gt;page 613-619. &lt;/em&gt;(&lt;em&gt;2002&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/clustering"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/text-mining"/></rdf:Bag></taxo:topics><description>The clustering is interesting. 
Once an element E is assigned to a cluster C, the overlapping features from C are subtracted from E, and E is kept in the list of elements to cluster. This lets you find different word-senses (here, in general multi-cluster membership)</description></item><item rdf:about="http://www.bibsonomy.org/bibtex/2950894054a390f82476967206d967622/gromgull"><title>A Galois Lattice based Approach to Lexical Inheritance Hierarchy
	Learning</title><link>http://www.bibsonomy.org/bibtex/2950894054a390f82476967206d967622/gromgull</link><dc:creator>gromgull</dc:creator><dc:date>2010-01-19T11:01:59+01:00</dc:date><dc:subject>galois-lattice hierarchy-learning </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;C. &lt;a href=&#034;http://www.bibsonomy.org/author/Sporleder&#034;&gt;Sporleder&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;15th European Conference on Artificial Intelligence ECAI&#039;02: Workshop 	on Machine Learning and Natural Language Processing for Ontology 	Engineering, Lyon, France, &lt;/em&gt;(&lt;em&gt;2002&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/galois-lattice"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/hierarchy-learning"/></rdf:Bag></taxo:topics><description>My thesis references</description></item><item rdf:about="http://www.bibsonomy.org/bibtex/221c3211780287ca272854a562e545bd9/gromgull"><title>A Set-Theoretical Approach for the Induction of Inheritance Hierarchies</title><link>http://www.bibsonomy.org/bibtex/221c3211780287ca272854a562e545bd9/gromgull</link><dc:creator>gromgull</dc:creator><dc:date>2010-01-19T10:59:01+01:00</dc:date><dc:subject>formal-concept-analysis hierarchy-learning </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Wiebke &lt;a href=&#034;http://www.bibsonomy.org/author/Petersen&#034;&gt;Petersen&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;Electronic Notes in Theoretical Computer Science&lt;/em&gt;(&lt;em&gt;2004&lt;/em&gt;) &lt;em&gt;Proceedings of the joint meeting of the 6th Conference on Formal Grammar and the 7th Conference on Mathematics of Language
		    .
	    &lt;/em&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/formal-concept-analysis"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/hierarchy-learning"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.bibsonomy.org/bibtex/2f284783360d970803c49bed1246f835a/gromgull"><title>Learning Concept Hierarchies from Text Corpora using Formal Concept
	Analysis</title><link>http://www.bibsonomy.org/bibtex/2f284783360d970803c49bed1246f835a/gromgull</link><dc:creator>gromgull</dc:creator><dc:date>2010-01-19T10:54:48+01:00</dc:date><dc:subject>fca formal-concept-analysis hierarchy-learning </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;P. &lt;a href=&#034;http://www.bibsonomy.org/author/Cimiano&#034;&gt;Cimiano&lt;/a&gt;  and A. &lt;a href=&#034;http://www.bibsonomy.org/author/Hotho&#034;&gt;Hotho&lt;/a&gt;  and S. &lt;a href=&#034;http://www.bibsonomy.org/author/Staab&#034;&gt;Staab&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;Journal of Artificial Intelligence Research&lt;/em&gt;(&lt;em&gt;2005&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/fca"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/formal-concept-analysis"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/hierarchy-learning"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.bibsonomy.org/bibtex/2dab8456bcedd2474db85a21f0db68cb0/gromgull"><title>Hierarchical Topic Models and the Nested Chinese Restaurant Process</title><link>http://www.bibsonomy.org/bibtex/2dab8456bcedd2474db85a21f0db68cb0/gromgull</link><dc:creator>gromgull</dc:creator><dc:date>2010-01-19T10:42:32+01:00</dc:date><dc:subject>hierarhical-latent-dirichlet-allocation hlda lda topicmodelling </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;D. &lt;a href=&#034;http://www.bibsonomy.org/author/Blei&#034;&gt;Blei&lt;/a&gt;  and T. &lt;a href=&#034;http://www.bibsonomy.org/author/Griffiths&#034;&gt;Griffiths&lt;/a&gt;  and M. &lt;a href=&#034;http://www.bibsonomy.org/author/Jordan&#034;&gt;Jordan&lt;/a&gt;  and J. &lt;a href=&#034;http://www.bibsonomy.org/author/Tenenbaum&#034;&gt;Tenenbaum&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;Advances in Neural Information Processing Systems 16, &lt;/em&gt;&lt;em&gt;Cambridge, MA, &lt;/em&gt;&lt;em&gt;MIT Press, &lt;/em&gt;(&lt;em&gt;2004&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/hierarhical-latent-dirichlet-allocation"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/hlda"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/lda"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/topicmodelling"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.bibsonomy.org/bibtex/2f8a04f2ba24c72818a34897a80442d47/gromgull"><title>M-FastMap: A Modified FastMap Algorithm for Visual Cluster Validation in Data Mining.</title><link>http://www.bibsonomy.org/bibtex/2f8a04f2ba24c72818a34897a80442d47/gromgull</link><dc:creator>gromgull</dc:creator><dc:date>2010-01-04T14:33:25+01:00</dc:date><dc:subject>fastmap featurevectors machine-learning nominalvalues </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Michael K. &lt;a href=&#034;http://www.bibsonomy.org/author/Ng&#034;&gt;Ng&lt;/a&gt;  and Joshua Zhexue &lt;a href=&#034;http://www.bibsonomy.org/author/Huang&#034;&gt;Huang&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;PAKDD, &lt;/em&gt;&lt;em&gt;volume 2336 of Lecture Notes in Computer Science, &lt;/em&gt;&lt;em&gt;page 224-236. &lt;/em&gt;&lt;em&gt;Springer, &lt;/em&gt;(&lt;em&gt;2002&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/fastmap"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/featurevectors"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/machine-learning"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/nominalvalues"/></rdf:Bag></taxo:topics><description>dblp</description></item><item rdf:about="http://www.bibsonomy.org/bibtex/2d6c03d4a71ce887c03e2eb4f81c29a0c/gromgull"><title>Unsupervised named-entity extraction from the web: an experimental study</title><link>http://www.bibsonomy.org/bibtex/2d6c03d4a71ce887c03e2eb4f81c29a0c/gromgull</link><dc:creator>gromgull</dc:creator><dc:date>2009-11-18T17:04:15+01:00</dc:date><dc:subject>information-extraction machine-learning unsupervised-learning web </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Oren &lt;a href=&#034;http://www.bibsonomy.org/author/Etzioni&#034;&gt;Etzioni&lt;/a&gt;  and Michael &lt;a href=&#034;http://www.bibsonomy.org/author/Cafarella&#034;&gt;Cafarella&lt;/a&gt;  and Doug &lt;a href=&#034;http://www.bibsonomy.org/author/Downey&#034;&gt;Downey&lt;/a&gt;  and Ana-Maria &lt;a href=&#034;http://www.bibsonomy.org/author/Popescu&#034;&gt;Popescu&lt;/a&gt;  and Tal &lt;a href=&#034;http://www.bibsonomy.org/author/Shaked&#034;&gt;Shaked&lt;/a&gt;  and Stephen &lt;a href=&#034;http://www.bibsonomy.org/author/Soderland&#034;&gt;Soderland&lt;/a&gt;  and Daniel S. &lt;a href=&#034;http://www.bibsonomy.org/author/Weld&#034;&gt;Weld&lt;/a&gt;  and Alexander &lt;a href=&#034;http://www.bibsonomy.org/author/Yates&#034;&gt;Yates&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;Artif. Intell.&lt;/em&gt;&lt;em&gt;165(1):91--134&lt;/em&gt;(&lt;em&gt;2005&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/information-extraction"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/machine-learning"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/unsupervised-learning"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/web"/></rdf:Bag></taxo:topics><description>Unsupervised named-entity extraction from the web</description></item><item rdf:about="http://www.bibsonomy.org/bibtex/2af67c1da5575db58d06ec9841aa44bac/gromgull"><title>Scaling textual inference to the web</title><link>http://www.bibsonomy.org/bibtex/2af67c1da5575db58d06ec9841aa44bac/gromgull</link><dc:creator>gromgull</dc:creator><dc:date>2009-11-18T17:02:49+01:00</dc:date><dc:subject>inference machine-learning question-answering unsupervised-learning web </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Stefan &lt;a href=&#034;http://www.bibsonomy.org/author/Schoenmackers&#034;&gt;Schoenmackers&lt;/a&gt;  and Oren &lt;a href=&#034;http://www.bibsonomy.org/author/Etzioni&#034;&gt;Etzioni&lt;/a&gt;  and Daniel S. &lt;a href=&#034;http://www.bibsonomy.org/author/Weld&#034;&gt;Weld&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;EMNLP &#039;08: Proceedings of the Conference on Empirical Methods in Natural Language Processing, &lt;/em&gt;&lt;em&gt;page 79--88. &lt;/em&gt;&lt;em&gt;Morristown, NJ, USA, &lt;/em&gt;&lt;em&gt;Association for Computational Linguistics, &lt;/em&gt;(&lt;em&gt;2008&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/inference"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/machine-learning"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/question-answering"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/unsupervised-learning"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/web"/></rdf:Bag></taxo:topics><description>Scaling textual inference to the web</description></item><item rdf:about="http://www.bibsonomy.org/bibtex/23b807dfe2240b85b52f663a9fa8faf59/gromgull"><title>Probabilistic Topic Models</title><link>http://www.bibsonomy.org/bibtex/23b807dfe2240b85b52f663a9fa8faf59/gromgull</link><dc:creator>gromgull</dc:creator><dc:date>2009-11-17T21:11:32+01:00</dc:date><dc:subject>machine-learning modelling statistical topic-modelling </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Mark &lt;a href=&#034;http://www.bibsonomy.org/author/Steyvers&#034;&gt;Steyvers&lt;/a&gt;  and Tom &lt;a href=&#034;http://www.bibsonomy.org/author/Griffiths&#034;&gt;Griffiths&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;Lawrence Erlbaum Associates, &lt;/em&gt;(&lt;em&gt;2007&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/machine-learning"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/modelling"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/statistical"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/topic-modelling"/></rdf:Bag></taxo:topics><description>Probabilistic Topic Models</description></item><item rdf:about="http://www.bibsonomy.org/bibtex/261e3b41aed931e0787e1d2e5e6e59cdc/gromgull"><title>Toward a New Generation of Semantic Web Applications</title><link>http://www.bibsonomy.org/bibtex/261e3b41aed931e0787e1d2e5e6e59cdc/gromgull</link><dc:creator>gromgull</dc:creator><dc:date>2009-11-17T14:26:15+01:00</dc:date><dc:subject>ai applications reasoning semantic-web </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;M. &lt;a href=&#034;http://www.bibsonomy.org/author/d&amp;#039;Aquin&#034;&gt;d&#039;Aquin&lt;/a&gt;  and E. &lt;a href=&#034;http://www.bibsonomy.org/author/Motta&#034;&gt;Motta&lt;/a&gt;  and M. &lt;a href=&#034;http://www.bibsonomy.org/author/Sabou&#034;&gt;Sabou&lt;/a&gt;  and S. &lt;a href=&#034;http://www.bibsonomy.org/author/Angeletou&#034;&gt;Angeletou&lt;/a&gt;  and L. &lt;a href=&#034;http://www.bibsonomy.org/author/Gridinoc&#034;&gt;Gridinoc&lt;/a&gt;  and V. &lt;a href=&#034;http://www.bibsonomy.org/author/Lopez&#034;&gt;Lopez&lt;/a&gt;  and D. &lt;a href=&#034;http://www.bibsonomy.org/author/Guidi&#034;&gt;Guidi&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;Intelligent Systems, IEEE&lt;/em&gt;&lt;em&gt;23(3):20-28&lt;/em&gt;&lt;em&gt;May-June 2008. &lt;/em&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/ai"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/applications"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/reasoning"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/semantic-web"/></rdf:Bag></taxo:topics><description>Welcome to IEEE Xplore 2.0: Toward a New Generation of Semantic Web Applications</description></item><item rdf:about="http://www.bibsonomy.org/bibtex/2c168ad255b8e1042e38e1b55893f4677/gromgull"><title>Autonomously semantifying wikipedia</title><link>http://www.bibsonomy.org/bibtex/2c168ad255b8e1042e38e1b55893f4677/gromgull</link><dc:creator>gromgull</dc:creator><dc:date>2009-11-11T14:57:49+01:00</dc:date><dc:subject>imported information-extraction machine-learning wikipedia </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Fei &lt;a href=&#034;http://www.bibsonomy.org/author/Wu&#034;&gt;Wu&lt;/a&gt;  and Daniel S. &lt;a href=&#034;http://www.bibsonomy.org/author/Weld&#034;&gt;Weld&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;CIKM &#039;07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, &lt;/em&gt;&lt;em&gt;page 41--50. &lt;/em&gt;&lt;em&gt;New York, NY, USA, &lt;/em&gt;&lt;em&gt;ACM, &lt;/em&gt;(&lt;em&gt;2007&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/imported"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/information-extraction"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/machine-learning"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/wikipedia"/></rdf:Bag></taxo:topics><description>Autonomously semantifying wikipedia</description></item><item rdf:about="http://www.bibsonomy.org/bibtex/2dee160501a04924917d2c8fc93a75d93/gromgull"><title>Automatically refining the wikipedia infobox ontology</title><link>http://www.bibsonomy.org/bibtex/2dee160501a04924917d2c8fc93a75d93/gromgull</link><dc:creator>gromgull</dc:creator><dc:date>2009-11-09T13:18:03+01:00</dc:date><dc:subject>imported joint-inference machine-learning ontology-learning wikipedia </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Fei &lt;a href=&#034;http://www.bibsonomy.org/author/Wu&#034;&gt;Wu&lt;/a&gt;  and Daniel S. &lt;a href=&#034;http://www.bibsonomy.org/author/Weld&#034;&gt;Weld&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;WWW &#039;08: Proceeding of the 17th international conference on World Wide Web, &lt;/em&gt;&lt;em&gt;page 635--644. &lt;/em&gt;&lt;em&gt;New York, NY, USA, &lt;/em&gt;&lt;em&gt;ACM, &lt;/em&gt;(&lt;em&gt;2008&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/imported"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/joint-inference"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/machine-learning"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/ontology-learning"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/wikipedia"/></rdf:Bag></taxo:topics><description>Automatically refining the wikipedia infobox ontology</description></item><item rdf:about="http://www.bibsonomy.org/bibtex/26dbe9434afeaf0a179f47a90496eeac5/gromgull"><title>Similarity of Semantic Relations</title><link>http://www.bibsonomy.org/bibtex/26dbe9434afeaf0a179f47a90496eeac5/gromgull</link><dc:creator>gromgull</dc:creator><dc:date>2009-09-07T22:33:49+02:00</dc:date><dc:subject>imported </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Peter D. &lt;a href=&#034;http://www.bibsonomy.org/author/Turney&#034;&gt;Turney&lt;/a&gt;  &lt;/span&gt;(&lt;em&gt;2006&lt;/em&gt;) &lt;em&gt;cite arxiv:cs.CL/0608100
Comment: related work available at http://purl.org/peter.turney/
		    .
	    &lt;/em&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/imported"/></rdf:Bag></taxo:topics><description>[cs/0608100] Similarity of Semantic Relations</description></item><item rdf:about="http://www.bibsonomy.org/bibtex/266ce848ffa366295989ae0c68301550f/gromgull"><title>Mapping Nominal Values to Numbers for Effective Visualization.</title><link>http://www.bibsonomy.org/bibtex/266ce848ffa366295989ae0c68301550f/gromgull</link><dc:creator>gromgull</dc:creator><dc:date>2009-08-28T13:29:35+02:00</dc:date><dc:subject>correlation-analysis feature-transformation nominal visualisation </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Geraldine E. &lt;a href=&#034;http://www.bibsonomy.org/author/Rosario&#034;&gt;Rosario&lt;/a&gt;  and Elke A. &lt;a href=&#034;http://www.bibsonomy.org/author/Rundensteiner&#034;&gt;Rundensteiner&lt;/a&gt;  and David C. &lt;a href=&#034;http://www.bibsonomy.org/author/Brown&#034;&gt;Brown&lt;/a&gt;  and Matthew O. &lt;a href=&#034;http://www.bibsonomy.org/author/Ward&#034;&gt;Ward&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;INFOVIS, &lt;/em&gt;&lt;em&gt;IEEE Computer Society, &lt;/em&gt;(&lt;em&gt;2003&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/correlation-analysis"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/feature-transformation"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/nominal"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/visualisation"/></rdf:Bag></taxo:topics><description>dblp</description></item><item rdf:about="http://www.bibsonomy.org/bibtex/20b55e2f3f396f6a2700221005061c4dc/gromgull"><title>A Framework for Clustering Evolving Data Streams.</title><link>http://www.bibsonomy.org/bibtex/20b55e2f3f396f6a2700221005061c4dc/gromgull</link><dc:creator>gromgull</dc:creator><dc:date>2009-08-28T12:48:29+02:00</dc:date><dc:subject>machine-learning online-clustering toread </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Charu C. &lt;a href=&#034;http://www.bibsonomy.org/author/Aggarwal&#034;&gt;Aggarwal&lt;/a&gt;  and Jiawei &lt;a href=&#034;http://www.bibsonomy.org/author/Han&#034;&gt;Han&lt;/a&gt;  and Jianyong &lt;a href=&#034;http://www.bibsonomy.org/author/Wang&#034;&gt;Wang&lt;/a&gt;  and Philip S. &lt;a href=&#034;http://www.bibsonomy.org/author/Yu&#034;&gt;Yu&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;VLDB, &lt;/em&gt;&lt;em&gt;page 81-92. &lt;/em&gt;(&lt;em&gt;2003&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/machine-learning"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/online-clustering"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/toread"/></rdf:Bag></taxo:topics><description>dblp</description></item><item rdf:about="http://www.bibsonomy.org/bibtex/20cbf20645f609d292bce59d219ef2596/gromgull"><title>Note-Taking, Individual Differences, and Memory for Lecture Information.</title><link>http://www.bibsonomy.org/bibtex/20cbf20645f609d292bce59d219ef2596/gromgull</link><dc:creator>gromgull</dc:creator><dc:date>2009-08-24T14:08:18+02:00</dc:date><dc:subject>imported memory notetaking </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Gilles O. &lt;a href=&#034;http://www.bibsonomy.org/author/Einstein&#034;&gt;Einstein&lt;/a&gt;  and Joy &lt;a href=&#034;http://www.bibsonomy.org/author/Morris&#034;&gt;Morris&lt;/a&gt;  and Susan &lt;a href=&#034;http://www.bibsonomy.org/author/Smith&#034;&gt;Smith&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;Journal of Educational Psychology&lt;/em&gt;&lt;em&gt;77(5):522--32&lt;/em&gt;(&lt;em&gt;1985&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/imported"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/memory"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/notetaking"/></rdf:Bag></taxo:topics><description>Note-Taking, Individual Differences, and Memory for Lecture Information.</description></item><item rdf:about="http://www.bibsonomy.org/bibtex/29228c8db7052bd327f57e616083de583/gromgull"><title>A Survey of Kernels for Structured Data</title><link>http://www.bibsonomy.org/bibtex/29228c8db7052bd327f57e616083de583/gromgull</link><dc:creator>gromgull</dc:creator><dc:date>2009-08-24T11:18:31+02:00</dc:date><dc:subject>kernel-methods machine-learning structured-data </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Thomas &lt;a href=&#034;http://www.bibsonomy.org/author/Gärtner&#034;&gt;G&amp;#228;rtner&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;SIGKDD Explorations&lt;/em&gt;(&lt;em&gt;2003&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/kernel-methods"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/machine-learning"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/structured-data"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.bibsonomy.org/bibtex/2ed2fc7d1704435abac02ec1ab6aeca9c/gromgull"><title>A New Kernel-Based Algorithm for Online Clustering.</title><link>http://www.bibsonomy.org/bibtex/2ed2fc7d1704435abac02ec1ab6aeca9c/gromgull</link><dc:creator>gromgull</dc:creator><dc:date>2009-08-24T11:02:19+02:00</dc:date><dc:subject>clustering kernel-methods machine-learning online-clustering </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Habiboulaye Amadou &lt;a href=&#034;http://www.bibsonomy.org/author/Boubacar&#034;&gt;Boubacar&lt;/a&gt;  and St&amp;#233;phane &lt;a href=&#034;http://www.bibsonomy.org/author/Lecoeuche&#034;&gt;Lecoeuche&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;ICANN 2, &lt;/em&gt;&lt;em&gt;volume 3697 of Lecture Notes in Computer Science, &lt;/em&gt;&lt;em&gt;page 583-588. &lt;/em&gt;&lt;em&gt;Springer, &lt;/em&gt;(&lt;em&gt;2005&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/clustering"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/kernel-methods"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/machine-learning"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/online-clustering"/></rdf:Bag></taxo:topics><description>dblp</description></item></rdf:RDF>