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181	Morfessor FlatCat: An HMM-Based Method for Unsupervised and Semi-Supervised Learning of Morphology Stig-Arne Gr¨onroos1 Sami Virpioja2 Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2014-08-08 12:22:55 Statistics Computational linguistics Natural language processing Semantics Flatcat Word-sense disambiguation Conditional random field Segmentation Polymorphism Machine learning Science Linguistics
182	COMPSCI 276 Homework Assignment 2 Fall 2014 Instructor: Rina Dechter Due: Wednesday, October 22nd Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-10-15 01:13:29 Networks Probability theory Bayesian network Function Exponential function Markov random field Mutual information Elliptic curve Mathematics Mathematical analysis Graphical models
183	review articles doi:What are Bayesian networks and why are their applications growing across all fields? by Adnan Darwiche Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-08-31 09:39:22 Statistical models Networks Bayesian network Artificial intelligence Markov random field Hidden Markov model Naive Bayes classifier Machine learning Bayes factor Statistics Bayesian statistics Graphical models
184	Tang et al. Journal of Cheminformatics 2015, 7(Suppl 1):S8 http://www.jcheminf.com/content/7/S1/S8 RESEARCH Open Access Add to Reading List Source URL: www.jcheminf.com Language: English Computational linguistics Natural language processing Data mining Computational chemistry Cybernetics Named-entity recognition Information extraction Conditional random field Chemistry Science Knowledge Information science
185	Pointwise Prediction for Robust, Adaptable Japanese Morphological Analysis Graham Neubig, Yosuke Nakata, Shinsuke Mori Graduate School of Informatics, Kyoto University Yoshida Honmachi, Sakyo-ku, Kyoto, Japan Add to Reading List Source URL: www.phontron.com Language: English - Date: 2012-03-21 10:51:13 Semantics Natural language processing Machine learning Word-sense disambiguation Conditional random field Part-of-speech tagging Text segmentation Annotation Pointwise Linguistics Computational linguistics Science
186	Journal of Machine Learning Research1009 Submitted 10/12; Revised 9/13; Published 3/14 Conditional Random Field with High-order Dependencies for Sequence Labeling and Segmentation Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2014-07-04 08:25:36 Statistics Applied mathematics Probability Graphical models Conditional random field Hidden Markov model Segmentation Algorithm Normal distribution Markov models Machine learning Theoretical computer science
187	Chapter 2 FORM-MAKING INTRODUCTION Several computer programs are available to help conduct field studies. You have already learned to use two such programs, Epi Info and Stata, which are useful for entering, processing Add to Reading List Source URL: www.ph.ucla.edu Language: English - Date: 2008-11-24 04:53:34 Mathematics Randomness Number Random sample Probability and statistics Lancet surveys of Iraq War casualties Statistics Survey methodology Sampling
188	Natural Language Generation with Tree Conditional Random Fields Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2010-03-02 01:03:39 Natural language processing Speech recognition Formal languages Compiler construction N-gram Conditional random field Context-free grammar Formal grammar Parsing Computational linguistics Linguistics Science
189	An FPGA architecture for DRAM-based systolic computations Norman Margolus Boston University Center for Computational Science and MIT Artificial Intelligence Laboratory Abstract Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2005-01-16 13:05:57 Computer architecture Central processing unit Dynamic random-access memory Digital electronics Field-programmable gate array Cell Parallel computing Microprocessor CPU cache Computer hardware Computer memory Electronic engineering
190	Cutset sampling for Bayesian networks Cutset sampling for Bayesian networks Bozhena Bidyuk Rina Dechter Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2006-10-03 14:22:14 Graphical models Monte Carlo methods Bayesian statistics Probability theory Networks Decomposition method Bayesian network Markov random field Gibbs sampling Statistics Graph theory Probability and statistics

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