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Generative model
Results: 219

#	Item
51	Multi Object Tracking Using a generative model 1 7th Multitel Spring Workshop – Add to Reading List Source URL: www.multitel.be Language: English - Date: 2012-07-27 03:46:02
52	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
53	Journal of New Music Research 2009, Vol. 38, No. 1, pp. 3–18 A Unified Probabilistic Model for Polyphonic Music Analysis David Temperley Eastman School of Music, University of Rochester, USA Add to Reading List Source URL: theory.esm.rochester.edu Language: English - Date: 2009-12-21 16:01:42 Music theory Acoustics Meter Time signature Harmony Beat Musical analysis Harmonic series Generative theory of tonal music Music Rhythm Musical notation
54	Deep Generative Stochastic Networks Trainable by Backprop Yoshua Bengio∗ FIND . US @ ON . THE . WEB ´ Eric Add to Reading List Source URL: yosinski.com Language: English - Date: 2014-09-17 14:43:15 Markov chain Monte Carlo Markov models Markov processes Bayesian statistics Markov chain Gibbs sampling Boltzmann machine Generative model Graphical model Statistics Statistical models Probability and statistics
55	Progressive Visual Object Detection with Positive Training Examples Only Ekaterina Riabchenko1 , Ke Chen2 , and Joni-Kristian K¨am¨ar¨ainen2 1 Department of Mathematics and Physics, Lappeenranta University of Technol Add to Reading List Source URL: vision.cs.tut.fi Language: English - Date: 2015-03-24 05:53:28 Statistics Probability and statistics Generative model Discriminative model Constellation model Generative Pattern recognition Histogram of oriented gradients Object recognition Machine learning Artificial intelligence Computer vision
56	R Foundations and Trends in Machine Learning Vol. 4, No–373 c 2012 C. Sutton and A. McCallum Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-08-27 13:34:18 Probability Machine learning Statistical models Bayesian statistics Theoretical computer science Conditional random field Hidden Markov model Discriminative model Generative model Statistics Probability and statistics Graphical models
57	A Bayesian approach to network modularity • Generative model: die rolling for module assignments, coin-flipping for edges • Inference: variational Bayes for approximations to posteriors + complexity control • Stoch Add to Reading List Source URL: www.jakehofman.com Language: English - Date: 2009-01-22 17:20:55 Logic Network theory Modularity Conference on Neural Information Processing Systems Inference Variational Bayesian methods Bayesian statistics Knowledge Science
58	A Bayesian approach to network modularity Jake Hofman Wiggins Lab Columbia University Add to Reading List Source URL: www.jakehofman.com Language: English - Date: 2009-01-22 17:20:54 Statistical theory Generative model Machine learning Bayesian inference Bayesian network Biological network inference Statistics Bayesian statistics Statistical models
59	Outline • Community detection • Generative model for modular networks • Variational Bayesian inference • Validation • Applications Add to Reading List Source URL: www.jakehofman.com Language: English - Date: 2010-01-14 17:38:24
60	Deep Generative Stochastic Networks Trainable by Backprop Yoshua Bengio∗ FIND . US @ ON . THE . WEB ´ Eric Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-02-01 17:03:25 Markov chain Monte Carlo Markov models Markov processes Bayesian statistics Markov chain Gibbs sampling Boltzmann machine Generative model Graphical model Statistics Statistical models Probability and statistics

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