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Unsupervised learning
Results: 431

#	Item
171	Interpreting Arts Audiences and Cultural Preference Through Twitter Data Shauna Concannon and Matthew Purver Queen Mary University of London Abstract. In this study we work with a multi-arts organ Add to Reading List Source URL: www.eecs.qmul.ac.uk Language: English - Date: 2014-07-29 07:55:06 Science Computational linguistics Social media Statistical classification Text messaging Twitter Topic model Latent Dirichlet allocation Unsupervised learning Statistics Statistical natural language processing Machine learning
172	GRAHAM TAYLOR Thornbrough Building, Room 2413 School of Engineering University of Guelph Guelph, Ontario, N1G 2W1 Canada Add to Reading List Source URL: www.uoguelph.ca Language: English - Date: 2014-12-31 01:46:05 Neural networks Computational neuroscience Yann LeCun Conference on Neural Information Processing Systems Geoffrey Hinton Boltzmann machine Unsupervised learning Institute of Electrical and Electronics Engineers Artificial intelligence Science Machine learning
173	nips2007draft_6_submission_cmyk Add to Reading List Source URL: media.nips.cc Language: English - Date: 2007-12-03 00:27:56 Graphical model Supervised learning Expectation–maximization algorithm Bayes factor Cluster analysis Statistical classification Unsupervised learning Mixture model Kernel methods Statistics Machine learning Bayesian inference
174	Optimal Data Set Selection: An Application to Grapheme-to-Phoneme Conversion Young-Bum Kim and Benjamin Snyder University of Wisconsin-Madison {ybkim,bsnyder}@cs.wisc.edu Add to Reading List Source URL: pages.cs.wisc.edu Language: English - Date: 2013-06-23 22:28:25 Machine learning Linear algebra Numerical linear algebra Computational linguistics Matrix theory Singular value decomposition Feature selection Supervised learning Unsupervised learning Algebra Statistics Mathematics
175	Unsupervised Learning of Narrative Event Chains Nathanael Chambers and Dan Jurafsky Department of Computer Science Stanford University Stanford, CA 94305 {natec,jurafsky}@stanford.edu Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2008-04-29 14:20:49 Fiction-writing mode Narrative Style Science Natural language processing Roger Schank Artificial intelligence Cognition Computational linguistics Semiotics Fiction
176	Semi-Supervised Structuring of Complex Data Add to Reading List Source URL: www.rizoiu.eu Language: English - Date: 2013-10-04 10:30:16 Artificial intelligence Cluster analysis Constrained clustering Semi-supervised learning Data mining Unsupervised learning Segmentation Supervised learning Knowledge discovery Machine learning Statistics Computational statistics
177	Unsupervised Learning of Narrative Schemas and their Participants Nathanael Chambers and Dan Jurafsky Stanford University, Stanford, CA 94305 {natec,jurafsky}@stanford.edu Abstract Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2009-06-26 13:02:34 Computational linguistics Corpus linguistics Grammar Online dictionaries Schema FrameNet Semantic role labeling PropBank Rank Linguistics Science Knowledge representation
178	UNSUPERVISED CROSS-LINGUAL KNOWLEDGE TRANSFER IN DNN-BASED LVCSR Pawel Swietojanski, Arnab Ghoshal and Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB . Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2012-10-29 12:49:29 Cybernetics Speech recognition Boltzmann machine Perceptron Hidden Markov model Autoencoder Neural networks Machine learning Science
179	LEARNING HIDDEN UNIT CONTRIBUTIONS FOR UNSUPERVISED SPEAKER ADAPTATION OF NEURAL NETWORK ACOUSTIC MODELS Pawel Swietojanski and Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9 Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2014-10-10 03:45:27 Cybernetics Science Humanâ€“computer interaction Computer accessibility Speech recognition Perceptron Speaker recognition Boltzmann machine Feedforward neural network Neural networks Automatic identification and data capture Computational neuroscience
180	Baby Steps: How “Less is More” in Unsupervised Dependency Parsing Hiyan Alshawi Google IncAmphitheatre Parkway Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2010-04-04 04:22:24 Natural language processing Linguistics Computational neuroscience Corpus linguistics Markov models Artificial neural network Unsupervised learning Parsing Part-of-speech tagging Science Computational linguistics Machine learning

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