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Expectation–maximization algorithm
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61	The Mathematics of Statistical Machine Translation: Parameter Estimation Peter E Brown* Stephen A. Della Pietra* Add to Reading List Source URL: anthology.aclweb.org Language: English - Date: 2010-06-14 19:59:37 Markov models Machine learning Statistical machine translation Estimation theory Language model Expectation–maximization algorithm Bitext word alignment Pattern theory Markov chain Statistics Statistical natural language processing Machine translation
62	To Appear: Body Sensor Networks Workshop, Boston MA, AprilMulti-sensor Data Fusion Using the Influence Model Wen Dong and Alex Pentland E15-383, 20 Ames Street The MIT Media Laboratory Add to Reading List Source URL: vismod.media.mit.edu Language: English - Date: 2006-01-25 11:22:24 Markov processes Markov chain Hidden Markov model Expectation–maximization algorithm Stochastic process Matrix Mixture model Normal distribution Sensor Statistics Markov models Statistical models
63	Probabilistic Movement Modeling for Intention Inference in Human-Robot Interaction Zhikun Wang1,2 , Katharina Mülling1,2 , Marc Peter Deisenroth2 , Heni Ben Amor2 , David Vogt3 , Bernhard Schölkopf1 , and Jan Peters1,2 Add to Reading List Source URL: www.is.tuebingen.mpg.de Language: English - Date: 2013-02-21 04:12:48 Markov models Expectation–maximization algorithm Missing data Particle filter Hidden Markov model Kalman filter Normal distribution Maximum likelihood Inference Statistics Estimation theory Robot control
64	INTERSPEECHDiscriminative Training for Hierarchical Clustering in Speaker Diarization Oriol Vinyals1,2 , Gerald Friedland2 , Nelson Morgan1,2 University of California, Berkeley, CA, USA International Computer Scie Add to Reading List Source URL: www.icsi.berkeley.edu Language: English - Date: 2011-01-14 19:48:19 Bayesian statistics Machine learning Cluster analysis Expectation–maximization algorithm Maximum likelihood Speech recognition Speaker diarisation Mixture model Bayesian information criterion Statistics Estimation theory Statistical theory
65	JMLR: Workshop and Conference Proceedings 34:64–78, 2014 Proceedings of the 12th ICGI Some improvements of the spectral learning approach for probabilistic grammatical inference Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-08-26 06:56:50 Numerical linear algebra Matrix theory Markov models Group theory Singular value decomposition Low-rank approximation Expectation–maximization algorithm Markov chain Vector space Algebra Mathematics Linear algebra
66	Variational Bounds for Mixed-Data Factor Analysis Mohammad Emtiyaz Khan University of British Columbia Vancouver, BC, Canada V6T 1Z4 Add to Reading List Source URL: people.cs.ubc.ca Language: English - Date: 2010-11-01 11:54:31 Bayesian statistics Expectation–maximization algorithm Missing data Statistical natural language processing Mixture model Latent variable model Conjugate prior Maximum likelihood Exponential family Statistics Statistical models Estimation theory
67	Large-Scale Feature Learning With Spike-and-Slab Sparse Coding Ian J. Goodfellow Aaron Courville Yoshua Bengio DIRO, Universit´e de Montr´eal, Montr´eal, Qu´ebec, Canada Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:32 Statistical models Bayesian networks Learning Expectation–maximization algorithm Canadian Institute for Advanced Research Supervised learning Unsupervised learning Feature selection Latent variable Statistics Machine learning Cybernetics
68	Statistics 580 The EM Algorithm Introduction The EM algorithm is a very general iterative algorithm for parameter estimation by maximum likelihood when some of the random variables involved are not observed i.e., conside Add to Reading List Source URL: www.cse.cuhk.edu.hk Language: English M-estimators Expectation–maximization algorithm Missing data Maximum likelihood Sufficient statistic Statistics Estimation theory Statistical theory
69	On Estimation of Functional Causal Models: Post-Nonlinear Causal Model as an Example Kun Zhang, Zhikun Wang, Add to Reading List Source URL: www.is.tuebingen.mpg.de Language: English - Date: 2014-01-15 07:09:56 Statistical theory M-estimators Information theory Additive white Gaussian noise Maximum likelihood Mutual information Expectation–maximization algorithm Regression analysis Log-normal distribution Statistics Estimation theory Econometrics
70	Sharding Social Networks Quang Duong Sharad Goel University of Michigan Add to Reading List Source URL: www.jakehofman.com Language: English - Date: 2012-04-30 23:51:22 Shard Graph theory Expectation–maximization algorithm Degree distribution Topology Data management Statistics Mathematics

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