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Generative
Results: 1105

#	Item
791	Factored Conditional Restricted Boltzmann Machines for Modeling Motion Style Graham W. Taylor GWTAYLOR @ CS . TORONTO . EDU Geoffrey E. Hinton Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:17:00 Probability and statistics Neural networks Machine learning Boltzmann machine Generative model Graphical model Hidden Markov model Bayesian network Ludwig Boltzmann Statistical models Statistics Bayesian statistics
792	Modeling and Analysis of Elliptic Coordination by Dynamic Exploitation of Derivation Forests in LTAG parsing Djamé Seddah (1) & Benoît Sagot[removed]NCLT - Dublin City University - Ireland [removed] Add to Reading List Source URL: alpage.inria.fr Language: English - Date: 2010-02-07 17:00:03 Compiler construction Formal languages Syntax Tree-adjoining grammar Dependency grammar Minimalist program Context-free grammar Parsing Derivation Linguistics Grammar Generative linguistics
793	Control Verbs, Argument Cluster Coordination and MCTAG Djamé Seddah Alpage & Univ. Paris-Sorbonne Paris, France Benoit Sagot Add to Reading List Source URL: alpage.inria.fr Language: English - Date: 2010-05-27 08:49:22 Grammar Noam Chomsky Binary trees Coordination Gapping Ellipsis Tree-adjoining grammar Categorial grammar Tree Linguistics Syntax Generative linguistics
794	Hidden Markov Models • Generative, rather than descriptive model. – Objects produced by random process. • Dependencies in process, some random events influence others. Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2009-04-08 09:40:03 Probability and statistics Dynamic programming Bioinformatics Hidden Markov model Markov chain Forward–backward algorithm Continuous-time Markov process Markov models Statistics Markov processes
795	Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines Add to Reading List Source URL: www.icml-2011.org Language: English - Date: 2011-06-01 14:49:37 Science Neuroscience Boltzmann machine Backpropagation Artificial neural network Artificial neuron Recurrent neural network Generative model Connectionism Neural networks Computational neuroscience Cybernetics
796	Asymptotic Analysis of Generative Semi-Supervised Learning Joshua V. Dillon [removed] Krishnakumar Balasubramanian [removed] Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:35 Statistical theory Supervised learning Semi-supervised learning Pattern recognition Maximum likelihood Bias of an estimator Fisher information Variance Statistics Machine learning Estimation theory
797	Building a morphological and syntactic lexicon by merging various linguistic resources Miguel A. Molinero Grupo LYS University of A Coru˜ na Add to Reading List Source URL: alpage.inria.fr Language: English - Date: 2009-07-11 05:10:55 Grammar Generative linguistics Syntax Lexical Markup Framework Subcategorization frame Valency Lexicon Inflection Lemma Linguistics Computational linguistics Speech recognition
798	METHOD Facilitate a Brainstorm WHY facilitate a brainstorm Good facilitation is key to a generative brainstorm. You brainstorm to come up with many, wide-ranging Add to Reading List Source URL: dschool.stanford.edu Language: English - Date: 2014-01-29 18:10:18 Collaboration Behavior Human behavior Brainstorming Market research Facilitation Behavioural sciences Brothers Grym Facilitator Meetings Creativity Problem solving
799	Multi-Component Tree Insertion Grammars Pierre Boullier & Benoˆıt Sagot Alpage, INRIA Paris-Rocquencourt & Universit´e Paris 7 Domaine de Voluceau — Rocquencourt, BP[removed]Le Chesnay Cedex, France {Pierre.Boulli Add to Reading List Source URL: alpage.inria.fr Language: English - Date: 2010-01-11 17:47:51 Symbol Tree Context-free grammar Adjoint functors R-tree Generative linguistics Linguistics Tree-adjoining grammar
800	Sparse Additive Generative Models of Text Jacob Eisenstein [removed] Amr Ahmed [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-05-13 03:15:37 Statistical models Machine learning Latent Dirichlet allocation Topic model Dirichlet distribution Mixture model Dirichlet process Generative model Dynamic topic model Statistics Statistical natural language processing Probability and statistics

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