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161	Documents as multiple overlapping windows into a grid of counts Alessandro Perina1 Nebojsa Jojic1 1 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2014-05-20 05:42:59 Latent Dirichlet allocation Topic model Probabilistic latent semantic analysis Expectation–maximization algorithm Logarithm Latent semantic analysis Statistics Statistical natural language processing Machine learning
162	An Adaptive Learning Rate for Stochastic Variational Inference Rajesh Ranganath Princeton University, 35 Olden St., Princeton, NJ[removed]RAJESHR @ CS . PRINCETON . EDU Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Stochastic optimization Probability theory Stochastic approximation Mathematical optimization Bayesian inference Latent Dirichlet allocation Expectation–maximization algorithm Variational Bayesian methods Statistics Bayesian statistics Estimation theory
163	Combining information theoretic kernels with generative embeddings for classification Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2014-05-20 05:42:59 Statistical classification Categorical data Probabilistic latent semantic analysis Statistical natural language processing Fisher kernel Generative model Supervised learning Generative Pattern recognition Statistics Machine learning Probability and statistics
164	Connections between the Lines: Augmenting Social Networks with Text Jonathan Chang Jordan Boyd-Graber Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Science Machine learning Entity-relationship model Topic model Latent Dirichlet allocation Expectation–maximization algorithm Maximum likelihood N-gram Statistics Statistical natural language processing Estimation theory
165	A Comparison on Score Spaces for Expression Microarray Data Classification Alessandro Perina1 , Pietro Lovato2 , Marco Cristani2,3 , and Manuele Bicego2 1 2 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:01 Categorical data Probabilistic latent semantic analysis Statistical classification Fisher kernel Generative model Latent Dirichlet allocation Expectation–maximization algorithm Statistics Statistical natural language processing Machine learning
166	Journal of Machine Learning Research[removed]1224 Submitted 3/10; Revised 3/11; Published 4/11 The Indian Buffet Process: An Introduction and Review Thomas L. Griffiths Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2011-04-11 17:58:43 Categorical data Markov models Dirichlet process Conjugate prior Mixture model Chinese restaurant process Dirichlet distribution Markov chain Latent class model Statistics Statistical models Stochastic processes
167	Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma Aydın Ula¸s1, , Peter J. Sch¨ uﬄer2 , Manuele Bicego1, 1 Umberto Castellani , and Vittorio Murino1,3 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:01 Probabilistic latent semantic analysis Machine learning Latent Dirichlet allocation Generative model Generative Histogram Document-term matrix Focus Atomic nucleus Statistics Statistical natural language processing Categorical data
168	Markov Topic Models Chong Wang ∗ Computer Science Dept. Princeton University Princeton, NJ 08540 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Mathematics Dynamic topic model Latent Dirichlet allocation Topic model Perplexity Markov random field Expectation–maximization algorithm Information retrieval Statistical natural language processing Statistics Machine learning
169	Hierarchical relational models for document networks Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Latent Dirichlet allocation Mixture model Expectation–maximization algorithm Topic model Markov chain Probit model Statistics Machine learning Statistical natural language processing
170	3400 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 51, NO. 6, JUNE 2013 Classification of Seismic Volcanic Signals Using Hidden-Markov-Model-Based Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2014-05-20 05:48:55 Generative model Hidden Markov model Speech recognition Pattern recognition Lawrence Rabiner Discriminative model Naive Bayes classifier Embedding Probabilistic latent semantic analysis Statistics Machine learning Probability and statistics

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