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Boltzmann
Results: 656

#	Item
301	IMPROVING DEEP NEURAL NETWORK ACOUSTIC MODELS USING GENERALIZED MAXOUT NETWORKS Xiaohui Zhang, Jan Trmal, Daniel Povey, Sanjeev Khudanpur Center for Language and Speech Processing & Human Language Technology Center of Ex Add to Reading List Source URL: www.danielpovey.com Language: English - Date: 2014-03-06 00:47:58 Science Speech recognition Recurrent neural network Backpropagation Boltzmann machine Artificial neural network Neural networks Machine learning Cybernetics
302	IEEE-28MSP01-Feature-TEMPLATE Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-09-17 18:08:36 Computational neuroscience Computational statistics Computational linguistics Hidden Markov model Boltzmann machine Speech recognition Artificial neural network Backpropagation Expectation–maximization algorithm Statistics Neural networks Machine learning
303	Applications with New Multi-spectral Environmental Remote Sensing Satellites – Ostuni School Menzel & Antonelli Quiz 1 12 June 2006 Add to Reading List Source URL: cimss.ssec.wisc.edu Language: English - Date: 2013-10-04 12:20:06 Effective temperature Cold Temperature Thermodynamics Physics Stefan–Boltzmann law
304	ENMITY, LOYALTY, EMPIRE AND NATION: LANGUAGES IN THE GREAT WAR Ludwig Boltzmann Institute for Social Science History, Vienna Centre for War Studies, Trinity College Dublin 26 March 2015 Hoey Theatre: The Long Room Hub / Add to Reading List Source URL: www.tcd.ie Language: English - Date: 2015-03-13 12:30:50 Ludwig World War I Vienna Military history of Europe Military history by country Europe
305	Latti e Boltzmann O ean Simulator Postgraduate Programme Environmental Physi s Universität Bremen / Alfred Wegener Institut Bremerhaven Submitted in partial fulllment of the M.S . in Environmental Physi s Degree Superv Add to Reading List Source URL: www.iup.uni-bremen.de Language: English - Date: 2009-07-30 03:09:02 Physics Boltzmann equation Transport phenomena Ludwig Boltzmann Navier–Stokes equations Maxwell–Boltzmann distribution Laws of science Differential equation Partial differential equations Fluid dynamics Mathematical analysis
306	Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model David P. Reichert, Peggy Series and Amos J. Storkey School of Informatics, University of Edinburgh 10 Crichton Street, Edin Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English Cerebrum Medical signs Psychedelics dissociatives and deliriants Psychosis Philosophy of mind Hallucination Auditory hallucination Visual cortex Cerebral cortex Anatomy Mind Cognitive science
307	1 Deep Neural Networks for Acoustic Modeling in Speech Recognition Geoffrey Hinton, Li Deng, Dong Yu, George Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara Sainath, an Add to Reading List Source URL: static.googleusercontent.com Language: English - Date: 2012-10-26 02:52:04 Hidden Markov model Artificial neural network Boltzmann machine Generative model Feedforward neural network Speech recognition Backpropagation Expectation–maximization algorithm Latent variable Statistics Neural networks Machine learning
308	Comparing Probabilistic Models for Melodic Sequences Athina Spiliopoulou and Amos Storkey School of Informatics, University of Edinburgh, United Kingdom {a.spiliopoulou,a.storkey}@ed.ac.uk Abstract. Modelling the real w Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-04-26 12:53:52 Hidden Markov model Boltzmann machine Generative model Graphical model N-gram Markov model Gibbs sampling Latent variable Statistics Statistical models Probability
309	LEARNING HIDDEN UNIT CONTRIBUTIONS FOR UNSUPERVISED SPEAKER ADAPTATION OF NEURAL NETWORK ACOUSTIC MODELS Pawel Swietojanski and Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9 Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2014-11-17 05:17:51 Cybernetics Science Humanâ€“computer interaction Computer accessibility Speech recognition Perceptron Speaker recognition Boltzmann machine Feedforward neural network Neural networks Automatic identification and data capture Computational neuroscience
310	MAS.864: Derivation of 2D Boltzmann Distribution Dhaval Adjodah MIT May 16, 2011 From the Kinetic Theory of gases, the general form of the probability density function of the velocity component of a gas particle is of th Add to Reading List Source URL: fab.cba.mit.edu Language: English - Date: 2011-05-18 02:08:19 Gases Mathematical physics Thermodynamics James Clerk Maxwell Maxwell–Boltzmann distribution Normal distribution Boltzmann distribution Ludwig Boltzmann Distribution function Statistical mechanics Physics Probability and statistics

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