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Random field
Results: 650

#	Item
61	AMRITA@FIRE-2014: Named Entity Recognition for Indian Languages Abinaya.N, Neethu John, Dr.M.Anand Kumar and Dr.K.P Soman Center for Excellence in Computational Engineering and Networking Amrita School of Engineering Amr Add to Reading List Source URL: www.isical.ac.in Language: English - Date: 2014-12-05 23:51:05 Computational linguistics Named-entity recognition Conditional random field Structured prediction Malayalam Support vector machine Machine translation Entity
62	Perturb-and-MAP Random Fields 8. Example: Learning an Ising Model 5. Perturb-and-MAP: Main Idea Add to Reading List Source URL: www.stat.ucla.edu Language: English - Date: 2011-11-04 05:05:53 Image segmentation Lattice models Statistical mechanics Markov random field Ising model
63	Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning Yulia Tsvetkov♠ Manaal Faruqui♠ Wang Ling♣ Brian MacWhinney♠ Chris Dyer♣♠ ♠ Carnegie Mellon University ♣ G Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2016-08-01 10:37:36 Machine learning Computational linguistics Artificial neural networks Natural language processing Graphical models Word embedding Word-sense disambiguation Word2vec Conditional random field Named-entity recognition Curriculum Support vector machine
64	Budgeted Online Collective Inference Jay Pujara University of Maryland Add to Reading List Source URL: psl.umiacs.umd.edu Language: English - Date: 2015-07-31 17:33:33 Graphical models Statistical theory Probability theory Statistical models Bayesian inference Statistical inference Bayesian network Markov random field Belief propagation Scala First-order logic Loss function
65	Learning Depth-Sensitive Conditional Random Fields for Semantic Segmentation of RGB-D Images Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Computational neuroscience Machine learning Conditional random field Computer vision Image segmentation Support vector machine Convolutional neural network Artificial neural network
66	Joint Parsing and Named Entity Recognition Jenny Rose Finkel and Christopher D. Manning Computer Science Department Stanford University Stanford, CA 94305 {jrfinkel\|manning}@cs.stanford.edu Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2009-05-24 04:21:01 Computational linguistics Syntax Natural language processing Statistical natural language processing Natural language parsing Parsing Treebank Named-entity recognition Parse tree Information extraction Conditional random field Statistical parsing
67	TRDDC @ FIRE 2013 System for NER in Indian Languages Forum for Information Retrieval Evaluation December, 2013 Nitin Ramrakhiyani Add to Reading List Source URL: www.isical.ac.in Language: English - Date: 2013-12-06 01:20:26 Machine learning Conditional random field Computational linguistics Named-entity recognition Tata Research Development and Design Centre
68	On Herding and the Perceptron Cycling Theorem Andrew E. Gelfand, Yutian Chen, Max Welling Department of Computer Science University of California, Irvine {agelfand,yutianc,welling}@ics.uci.edu Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Machine learning Artificial neural networks Perceptron Conditional random field Supervised learning Pattern recognition Generalization error Structured prediction Kernel perceptron
69	Extracting Route Directions from Web Pages Xiao Zhang! , Prasenjit Mitra!† , Sen Xu‡ , Anuj R. Jaiswal† , Alex Klippel‡ , Alan MacEachren‡ ! Department of Computer Science and Engineering Add to Reading List Source URL: webdb09.cse.buffalo.edu Language: English - Date: 2009-06-24 13:24:22 Natural language processing Machine learning Markov models Computational linguistics Data mining Information extraction Part-of-speech tagging Search engine indexing Conditional random field Speech recognition Sentence Bag-of-words model
70	Globally Normalized Transition-Based Neural Networks Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov and Michael Collins Google Inc New York, NY {andor,chrisalbe Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-03-21 20:39:04 Artificial neural networks Computational neuroscience Language modeling Mathematical psychology N-gram Perceptron Conditional random field

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