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Latent learning
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#	Item
91	Large Scale Machine Learning Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-09-25 15:14:57 Multivariate statistics Singular value decomposition Linear algebra Matrix theory Information retrieval Latent semantic indexing Spectral clustering Principal component analysis Kernel principal component analysis Statistics Algebra Mathematics
92	4F13 Machine Learning: Coursework #3: Latent Dirichlet Allocation Carl Edward Rasmussen & Zoubin Ghahramani Due: 4pm March 14, 2013 to Laura Reed, room BNO-37 In this assignment, we will give you two short pieces of matl Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2013-01-31 04:49:22
93	Lecture 13 & 14: Latent Dirichlet Allocation for Topic Modelling 4F13: Machine Learning Carl Edward Rasmussen and Zoubin Ghahramani Department of Engineering Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2013-03-04 17:49:03
94	Journal of Machine Learning Research1022 Submitted 2/02; Published 1/03 Latent Dirichlet Allocation David M. Blei Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:56
95	Representing Degree Distributions, Clustering, and Homophily in Social Networks With Latent Cluster Random Effects Models Pavel N. Krivitsky Mark S. Handcock Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2007-08-13 15:57:13 Machine learning Statistical models Cluster analysis Normal distribution Mixture model Statistics Probability and statistics Probability
96	Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development Diane J. Hu1 , Laurens van der Maaten1,2 , Youngmin Cho1 , Lawrence K. Saul1 , Sorin Lerner1 1 Dept. of Computer Science & Engin Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2015-06-09 09:51:41 Mixture model Expectation–maximization algorithm Dirichlet process Bernoulli distribution Variational Bayesian methods Statistics Cluster analysis Machine learning
97	Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images Marc’Aurelio Ranzato Alex Krizhevsky Geoffrey E. Hinton Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2010-06-05 20:44:53 Probability and statistics Boltzmann machine Latent variable Generative model Mixture model Unsupervised learning Statistical classification Independent component analysis Statistics Statistical models Machine learning
98	Group-Based criminal trajectory analysis using cross-validation criteria J.D. Nielsen1 , J.S. Rosenthal2 , Y. Sun3 , D.M. Day4 , I. Bevc5 , and T. Duchesne6 (Last revised July 30, 2012.) Add to Reading List Source URL: probability.ca Language: English - Date: 2012-07-30 21:29:52 Statistical models Cluster analysis Categorical data Latent class model Bayesian information criterion Akaike information criterion Cross-validation Mixture model Statistics Model selection Machine learning
99	Andrew Cron Weinraub Analytics Durham, NCEmail: Web: http://www.andrewcron.com/ Add to Reading List Source URL: www.andrewcron.com Language: English - Date: 2015-06-17 12:18:48 Machine learning Graphics hardware Video cards Statistical natural language processing Cluster analysis Mixture model GPGPU Latent Dirichlet allocation Cron Statistics Computing Statistical models
100	Polynomial Semantic Indexing Bing Bai(1) Kunihiko Sadamasa(1) Jason WestonYanjun Qi(1) Add to Reading List Source URL: ronan.collobert.com Language: English - Date: 2009-11-02 15:21:38 Latent semantic indexing Learning to rank Tf*idf Latent semantic analysis Relevance feedback Query expansion Search engine indexing Document retrieval Probabilistic latent semantic analysis Information science Information retrieval Vector space model