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Machine learning
Results: 10129

#	Item
721	TEM Journal–240 Pattern Recognition and Natural Language Processing: State of the Art Mirjana Kocaleva 1,2, Done Stojanov 2, Igor Stojanovik 2, Zoran Zdravev 2 1 Add to Reading List Source URL: www.temjournal.com Language: English - Date: 2016-05-22 13:04:30 Computational linguistics Formal sciences Artificial intelligence Natural language processing Science Linguistics Cybernetics Computational neuroscience Natural language understanding Speech recognition Machine translation Machine learning
722	Comparative Study of Speaker Personality Traits Recognition in Conversational and Broadcast News Speech Firoj Alam, Giuseppe Riccardi Department of Information Engineering and Computer Science, University of Trento, Ital Add to Reading List Source URL: www.sensei-conversation.eu Language: English - Date: 2014-08-04 05:20:02 Machine learning Artificial intelligence Ensemble learning Learning Boosting Statistical classification AdaBoost Pattern recognition Feature selection Support vector machine Random forest
723	On-line Hierarchical Multi-label Text Classification Jesse Read September 7, 2007 On-line Hierarchical Multi-label Text Classification Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2010-10-25 05:10:53 Statistical classification Machine learning Artificial intelligence Learning Statistics Multi-label classification Naive Bayes classifier Classifier AdaBoost Document classification Binary classification Classifier chains
724	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Data selection by sequence summarizing neural network in mismatch condition training Zmolikova, K.; Karafiat, M.; Vesely, K.; Delcroix, M.; Watanabe, S.; Burg Add to Reading List Source URL: www.merl.com Language: English - Date: 2016-08-01 10:13:57 Machine learning Artificial neural networks Artificial intelligence Applied mathematics Automatic identification and data capture Computer accessibility Speech recognition Boltzmann machine Deep learning
725	Multiple Kernel Learning, Conic Duality, and the SMO Algorithm Francis R. Bach & Gert R. G. Lanckriet {fbach,gert}@cs.berkeley.edu Department of Electrical Engineering and Computer Science, University of California, Ber Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:25 Machine learning Learning Support vector machines Artificial intelligence Sequential minimal optimization Multiple kernel learning NC Kernel method KarushKuhnTucker conditions
726	C:/usr/ztu/Document/paper/Journal/2008/cviu/revision/CVIU_horse_submission_SF.dvi Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2010-06-26 20:31:07 Feature detection Image processing Artificial intelligence Machine learning Image segmentation Canny edge detector Edge detection Learning Statistics Mixture model
727	Batch-Incremental vs. Instance-Incremental Learning in Dynamic and Evolving Data Jesse Read1 , Albert Bifet2 , Bernhard Pfahringer2 , Geoff Holmes2 1 Department of Signal Theory and Communications Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2012-10-25 03:54:39 Statistics Machine learning Learning Artificial intelligence Statistical classification Data mining Concept drift Massive Online Analysis K-nearest neighbors algorithm Support vector machine Stochastic gradient descent Batch processing
728	Advances in natural language processing Julia Hirschberg1* and Christopher D. Manning2,3 Natural language processing employs computational techniques for the purpose of learning, understanding, and producing human langua Add to Reading List Source URL: cs224d.stanford.edu Language: English - Date: 2016-05-12 22:27:11 Computational linguistics Linguistics Applied linguistics Artificial intelligence Natural language processing Machine translation Question answering Word-sense disambiguation Text corpus Language model Speech recognition Language technology
729	Discovering Task Constraints Through Observation and Active Learning Bradley Hayes1 and Brian Scassellati1 Abstract— Effective robot collaborators that work with humans require an understanding of the underlying constr Add to Reading List Source URL: bradhayes.info Language: English - Date: 2016-07-11 15:51:32 Education Educational psychology Cognition Robotics Learning Educational technology Active learning Motion planning Machine learning Draft:Multi-task learning Multi-task learning
730	The TUM Cumulative DTW Approach for the Mediaeval 2012 Spoken Web Search Task Cyril Joder, Felix Weninger, Martin Wöllmer Institute for Human-Machine Communication Technische Universität München, Germany Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2012-09-30 11:02:36 Dynamic programming Time series analysis Dynamic time warping Artificial intelligence Speech recognition Humancomputer interaction Learning

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