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Generative model
Results: 219

#	Item
101	Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines Kihyuk Sohn Guanyu Zhou Chansoo Lee Honglak Lee Add to Reading List Source URL: jmlr.org Language: English - Date: 2013-08-14 01:36:44 Boltzmann machine Supervised learning Feature selection Pattern recognition Generative model Neural network Unsupervised learning Support vector machine Linear classifier Statistics Machine learning Artificial intelligence
102	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
103	LNCS[removed]Clustering-Based Construction of Hidden Markov Models for Generative Kernels Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 18:00:46 Fisher kernel Information retrieval Geostatistics Computational linguistics Pattern recognition Hidden Markov model Generative model Cluster analysis Generative Statistics Machine learning Statistical classification
104	TIDELANDS Tidelands is an investigation into the intersections between advanced architectural practices (generative systems/parametric articulations) and a critical mode of Utopian thought. Tidelands is about the agency Add to Reading List Source URL: www.sharkmouse.org Language: English - Date: 2015-02-09 02:19:24 Design Culture Visual arts Ethology Concepts Conceptual model Metaphor
105	LNBI[removed]Renal Cancer Cell Classification Using Generative Embeddings and Information Theoretic Kernels Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:01 Machine learning Category theory Categorical data Probabilistic latent semantic analysis Statistical classification Latent Dirichlet allocation Generative model Embedding Kernel Statistics Mathematics Statistical natural language processing
106	IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, Investigating Topic Models’ Capabilities in Expression Microarray Data Classification Manuele Bicego, Pietro Lovato, Alessandro Perina, Marianna Fasol Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2013-03-19 09:37:42 Biology Machine learning Microarrays Formal sciences Bioinformatics Probabilistic latent semantic analysis Generative model Latent Dirichlet allocation Topic model Statistics Science Statistical natural language processing
107	LNCS[removed]Exploiting Geometry in Counting Grids Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2014-05-20 05:42:59 Statistical classification Generative model Probabilistic latent semantic analysis Latent Dirichlet allocation Pattern recognition Expectation–maximization algorithm Supervised learning Support vector machine Grid plan Statistics Machine learning Statistical natural language processing
108	Psychological Review 2010, Vol. 117, No. 1, 197–209 © 2010 American Psychological Association 0033-295X/10/$12.00 DOI: [removed]a0017808 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Behaviorism Philosophy of mind Classical conditioning Rescorla–Wagner model Extinction Latent inhibition Reinforcement Language acquisition Generative model Behavior Learning Mind
109	Non-linear Generative Embeddings for Kernels on Latent Variable Models Anna Carli 1 , Manuele Bicego 1,2 , Sisto Baldo 1 , Vittorio Murino 1,2 1 Dept. of Computer Science, University of Verona, Strada le Grazie 15 – 37 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 18:01:16 Machine learning Fisher kernel Information retrieval Kernel Hidden Markov model Support vector machine Linear map Linux kernel Pattern recognition Statistics Statistical classification Mathematics
110	Detecting overlapping protein complexes based on a generative model with functional and topological properties: Additional file 1 Xiao-Fei Zhang, Dao-Qing Dai, Le Ou-Yang and Hong Yan Contents 1 Supplementary Figure Add to Reading List Source URL: www.biomedcentral.com Language: English

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