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Latent learning
Results: 355

#	Item
331	Supervised Semantic Indexing Bing Bai† , Jason Weston† , David Grangier† , Ronan Collobert† , Yanjun Qi† , Kunihiko Sadamasa† , Olivier Chapelle? , Kilian Weinberger? † NEC Labs America, Princeton NJ, USA ? Add to Reading List Source URL: david.grangier.info Language: English - Date: 2010-12-15 14:11:56 Vector space model Latent semantic analysis Latent semantic indexing Tf*idf Search engine indexing Learning to rank Relevance feedback Hash function Probabilistic latent semantic analysis Information science Information retrieval Science
332	Supervised Semantic Indexing Bing Bai, Jason Weston, Ronan Collobert, and David Grangier NEC Labs America, 4 Independence Way, Princeton, USA 08540 {bbai,jasonw,collober,dgrangier}@nec-labs.com Add to Reading List Source URL: david.grangier.info Language: English - Date: 2010-12-15 14:11:58 Vector space model Latent semantic analysis Tf*idf Latent semantic indexing Probabilistic latent semantic analysis Learning to rank Latent Dirichlet allocation Query expansion Search engine indexing Information science Information retrieval Science
333	Learning to Retrieve Images from Text Queries with a Discriminative Model David Grangier1,2 , Florent Monay1,2 , and Samy Bengio1 1 2 Add to Reading List Source URL: david.grangier.info Language: English - Date: 2010-12-15 14:10:38 Statistics Probabilistic latent semantic analysis Automatic image annotation Latent Dirichlet allocation Latent semantic analysis Document retrieval Precision and recall Information science Information retrieval Science
334	Polynomial Semantic Indexing Bing Bai(1) Kunihiko Sadamasa(1) Jason Weston[removed]Yanjun Qi(1) Add to Reading List Source URL: david.grangier.info Language: English - Date: 2010-12-15 14:11:53 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
335	Noname manuscript No. (will be inserted by the editor) Learning to Rank with (a Lot of ) Word Features Bing Bai · Jason Weston · David Grangier · Ronan Collobert · Kunihiko Sadamasa · Add to Reading List Source URL: david.grangier.info Language: English - Date: 2010-12-15 14:12:01 Vector space model Learning to rank Ranking SVM Tf*idf Hash function Search engine indexing N-gram Supervised learning Latent semantic indexing Information science Information retrieval Science
336	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: www.statisticalinnovations.com Language: English - Date: 2009-01-30 12:07:07 Econometrics Categorical data Psychometrics CHAID Latent class model Multinomial logit Decision tree learning Latent variable Factor analysis Statistics Regression analysis Decision trees
337	Community Clustering: Leveraging an Academic Crowd to Form Coherent Conference Sessions Paul Andr´e,∗ Haoqi Zhang,† Juho Kim,‡ Lydia Chilton,§ Steven P. Dow,∗ and Robert C. Miller‡ ∗ Carnegie Mellon Add to Reading List Source URL: paul.is Language: English - Date: 2013-10-14 05:41:03 Science Multivariate statistics Data mining Machine learning Natural language processing Cluster analysis Tf*idf Hierarchical clustering Latent semantic indexing Statistics Information science Information retrieval
338	Learning from Text and Images: Generative and Discriminative Models for Partially Labeled Data by Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2010-05-09 10:04:05 Stochastic processes Statistical natural language processing Statistical models Dirichlet process Supervised learning Automatic image annotation LabelMe Linear classifier Latent Dirichlet allocation Statistics Machine learning Artificial intelligence
339	Sparse Representation for Tumor Classification Based on Feature Extraction Using Latent Low-Rank Representation Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Statistical classification Multivariate statistics Support vector machine Prostate cancer DNA microarray Machine learning Cancer Non-negative matrix factorization Data mining Statistics Medicine Biology
340	Psychological Review 1980, Vol. 87, No. 6, [removed] Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2006-10-25 18:17:19 Behaviorism Philosophy of mind Rescorla–Wagner model Experimental psychology Classical conditioning Blocking effect Latent inhibition Reinforcement Extinction Learning Behavior Mind

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