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#	Item
131	Zero-Shot Learning Through Cross-Modal Transfer Richard Socher, Milind Ganjoo, Hamsa Sridhar, Osbert Bastani, Christopher D. Manning, Andrew Y. Ng Computer Science Department, Stanford University, Stanford, CA 94305, US Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-03-20 21:51:47 Computational linguistics Natural language processing Abstract algebra Linear algebra Information retrieval One-shot learning Semantic similarity Latent semantic analysis Euclidean vector Algebra Mathematics Science
132	An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables? Jay Magidson1 and Jeroen K. Vermunt2 1 2 Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:14:41 Econometrics Categorical data Psychometrics CHAID Latent class model Multinomial logit Decision tree learning Latent variable Factor analysis Statistics Regression analysis Decision trees
133	Journal of Machine Learning Research–1816 Submitted 4/05; Revised 10/05; PublishedProbabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2005-11-20 10:42:17 Principal component analysis Expectation–maximization algorithm Gaussian process Generative topographic map Covariance matrix Mixture model Conjugate prior Factor analysis Covariance function Statistics Multivariate statistics Kernel principal component analysis
134	Structured Generative Models of Natural Source Code Supplementary Materials for “Structured Generative Models of Natural Source Code” EM Learning for Latent Traversal Variable LTTs Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-06-20 04:13:37 C programming language ALGOL 68 Nm Struct Entropy Computing Programming language theory Software engineering
135	Mach Learn DOIs10994Statistical topic models for multi-label document classification Timothy N. Rubin · America Chambers · Add to Reading List Source URL: psiexp.ss.uci.edu Language: English - Date: 2012-01-01 14:24:17 Computational statistics Multi-label classification Latent Dirichlet allocation Automatic summarization Document classification Support vector machine Discriminative model Naive Bayes classifier Statistical classification Machine learning Statistics Artificial intelligence
136	Structured Generative Models of Natural Source Code Chris J. Maddison† University of Toronto CMADDIS @ CS . TORONTO . EDU Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-02-01 17:03:28 Graphical models Bayesian statistics Machine learning Tree traversal Generative model Bayesian network Latent variable Hidden Markov model N-gram Statistics Statistical models Probability
137	Figure 1: The collaborative topic Poisson factorization model (CTPF). A Stochastic variational inference for the collaborative topic Poisson factorization model Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-11-03 20:43:29 Machine learning Latent Dirichlet allocation Stochastic approximation Mathematics Mathematical optimization Bayesian statistics Evolutionary algorithms Dynamic topic model Stochastic optimization Statistics Statistical natural language processing
138	Temporal Multinomial Mixture for Instance-oriented Evolutionary Clustering Young-Min Kim† , Julien Velcin‡ , St´ephane Bonnevay‡ , and Marian-Andrei Rizoiu‡ † Add to Reading List Source URL: www.rizoiu.eu Language: English - Date: 2015-02-12 03:10:57 Cluster analysis K-means clustering Probabilistic latent semantic analysis Latent Dirichlet allocation Dynamic topic model Mixture model Spectral clustering Unsupervised learning Document clustering Statistics Machine learning Statistical natural language processing
139	Nonparametric Bayesian Texture Learning and Synthesis Long (Leo) Zhu1 Yuanhao Chen2 William Freeman1 Antonio Torralba1 1 2 CSAIL, MIT Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2009-11-05 17:16:11 Stochastic processes Computer vision Texture synthesis Bayesian statistics Hidden Markov model Dirichlet process Segmentation Texton Latent Dirichlet allocation Statistics Image processing 3D computer graphics
140	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 Latent Dirichlet allocation Probabilistic latent semantic analysis Mixture model Topic model Dirichlet distribution Expectation–maximization algorithm Multinomial distribution N-gram Maximum likelihood Statistics Probability and statistics Statistical natural language processing

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