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Generative
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#	Item
361	proteins STRUCTURE O FUNCTION O BIOINFORMATICS Learning generative models for protein fold families Sivaraman Balakrishnan,1y Hetunandan Kamisetty,2y Jaime G. Carbonell,1,2,3 Su-In Lee,4,5 Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2012-11-04 16:59:44
362	# 01 Der Vortrag „Generative Gestaltung“ Der ca. 60–80 minütige Vortrag gliedert sich in vier Teile: Grundbausteine und Möglichkeiten generativer Gestaltung Entwurfsprozess generativer Gestaltung Add to Reading List Source URL: www.onformative.com Language: German - Date: 2011-03-24 11:31:42
363	Analysis-by-Synthesis by Learning to Invert Generative Black Boxes Vinod Nair, Josh Susskind, and Geoffrey E. Hinton Department of Computer Science University of Toronto, Toronto, Ontario, Canada Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2009-01-11 17:49:24
364	MP3104_06_Acevedo Add to Reading List Source URL: theory.esm.rochester.edu Language: English - Date: 2014-04-09 10:16:21 Musical notation Metres Meter Diatonic and chromatic Music theory Motif Generative theory of tonal music Music Rhythm Musical form
365	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
366	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
367	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
368	PDF Document Add to Reading List Source URL: generative.edb.utexas.edu - Date: 2011-06-09 12:00:59
369	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
370	PROSPECT GENERATOR OF THE AMERICAS TSX.V: ANZ Generative Exploration in Peru YANAC Project (EGC 50%) Add to Reading List Source URL: www.tarsis.ca Language: English - Date: 2015-05-20 15:49:59 Diorite Chalcopyrite Geochemistry Quartz diorite Petrology Igneous petrology Crystallography

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