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Machine learning
Results: 10129

#	Item
461	Structured Generative Models for Unsupervised Named-Entity Clustering Micha Elsner, Eugene Charniak and Mark Johnson Brown Laboratory for Linguistic Information Processing (BLLIP) Brown University Providence, RI 02912 {m Add to Reading List Source URL: bllip.cs.brown.edu Language: English - Date: 2009-03-29 14:56:08 Linguistics Computational linguistics Language Cognitive science Semantics Natural language processing Pronouns Machine learning Information extraction Named-entity recognition Entityrelationship model Message Understanding Conference
462	Yet Another Platform for Extracting Knowledge from Corpora Francesca Fallucchi, Fabio Massimo Zanzotto DISP - University of Rome “Tor Vergata” (Italy) , Abstract Th Add to Reading List Source URL: art.uniroma2.it Language: English - Date: 2013-05-28 06:48:55 Computational linguistics Linguistics Academia Applied linguistics Semantics Natural language processing Discourse analysis Machine learning Distributional semantics Text corpus Equivalence relation Terminology extraction
463	Filling the Gap: Semi-Supervised Learning for Opinion Detection Across Domains Abstract We investigate the use of Semi-Supervised Learning (SSL) in opinion detection both in Add to Reading List Source URL: cl.indiana.edu Language: English - Date: 2011-07-02 16:22:38 Machine learning Artificial intelligence Learning Statistical classification Cognition Natural language processing Semi-supervised learning Co-training Supervised learning Domain adaptation Sentiment analysis Support vector machine
464	Interactive HMM construction based on interesting sequences Szymon Jaroszewicz National Institute of Telecommunications Warsaw, Poland Add to Reading List Source URL: www.ke.tu-darmstadt.de Language: English - Date: 2009-11-06 11:55:58 Markov models Machine learning Probability Statistics Bioinformatics Computational linguistics Hidden Markov model Markov chain BaumWelch algorithm Speech recognition Expectationmaximization algorithm Association rule learning
465	Adaptive Discriminative Generative Model and Its Applications † Ruei-Sung Lin† David Ross‡ Jongwoo Lim† Ming-Hsuan Yang∗ University of Illinois ‡ University of Toronto ∗ Honda Research Institute Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2005-01-07 15:34:20 Statistics Probability Mathematical analysis Statistical models Machine learning Markov models Linear algebra Multivariate statistics Discriminative model Kalman filter Generative model Normal distribution
466	Hidden Markov Models Markov Models Hidden Markov Models Add to Reading List Source URL: cl.indiana.edu Language: English - Date: 2015-09-29 10:41:43 Markov models Probability theory Machine learning Probability Hidden Markov model Speech recognition Markov chain BaumWelch algorithm
467	ISM@FIRE-2014: Named Entity Recognition Indian Languages Shantanu Dubey, Bharti Goel, Dinesh Kumar Prabhakar and Sukomal Pal Indian School of Mines, Dhanbad Jharkhand, India Add to Reading List Source URL: www.isical.ac.in Language: English - Date: 2014-12-05 23:51:05 Artificial intelligence Machine learning Linguistics Computing Computational linguistics Statistical classification Named-entity recognition Cat Test Conditional random field Part-of-speech tagging Classifier
468	The Human Need for Personalization: Psychology, Technology and Science Scott Brave, Ph. D July 18, 2012 Add to Reading List Source URL: www.baynote.com Language: English - Date: 2012-08-23 23:01:44 Information science Humancomputer interaction Marketing Economy World Wide Web Personalization Data management Big data Persona Machine learning Needs assessment Productivity
469	The Development of the AQ20 Learning System and Initial Experiments Guido Cervone Liviu Panait Ryszard Michalski* Machine Learning and Inference Laboratory, George Mason University, Fairfax, Add to Reading List Source URL: cervone.psu.edu Language: English - Date: 2015-11-18 09:12:46 Theoretical computer science Algorithms Formal methods Software engineering HindleyMilner type system Lambda calculus Type theory Mathematics
470	PROBABILISTIC MODELING OF GENE REGULATORY NETWORKS FROM DATA Thesis submitted for the degree “Doctor of Philosophy” Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2015-08-10 08:23:34 Statistics Networks Learning Systems science Statistical models Systems biology Machine learning Bayesian network Gene regulatory network Nir Friedman Gaussian process Nonlinear dimensionality reduction

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