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Workshop on Machine Learning and Music
[syn] 3221 views, 18:33 Musical Source Separation using Generalised Non-Negative Tensor Factorisation ModelsMusical Source Separation using Generalised Non-Negative Tensor Factorisation Models Derry FitzGerald Derry FitzGerald	[syn] 2887 views, 18:00 Learning Violinist's Expressive TrendsLearning Violinist's Expressive Trends Miguel Molina-Solana Miguel Molina-Solana	[syn] 3226 views, 18:11 The Potential of Reinforcement Learning for Live Musical Agents The Potential of Reinforcement Learning for Live Musical Agents Nick Collins Nick Collins	[syn] 3079 views, 17:07 Modeling Celtic Violin Expressive Performance Modeling Celtic Violin Expressive Performance Rafael Ramirez Rafael Ramirez	[syn] 3830 views, 16:24 Identifying Cover Songs Using Normalized Compression Distance Identifying Cover Songs Using Normalized Compression Distance Teppo E. Ahonen Teppo E. Ahonen 3 comments
[syn] 3937 views, 20:29 Towards Logic-based Representations of Musical Harmony for Classification, Retrieval and Knowledge DiscoveryTowards Logic-based Representations of Musical Harmony for Classification, Retrieval and ... Amelie Anglade Amelie Anglade 1 comment	[syn] 3152 views, 15:06 Metropolis-Hastings Sampling in a FilterBoost Music ClassifierMetropolis-Hastings Sampling in a FilterBoost Music Classifier Thierry Bertin-Mahieux Thierry Bertin-Mahieux	[syn] 3178 views, 23:47 Composer classification using grammatical inferenceComposer classification using grammatical inference Menno M. van Zaanen Menno M. van Zaanen	[syn] 2828 views, 17:09 Training Music Sequence Recognizers with Linear Dynamic ProgrammingTraining Music Sequence Recognizers with Linear Dynamic Programming Eric Nichols Eric Nichols	[syn] 3951 views, 21:04 Genre Classification of Music by Tonal HarmonyGenre Classification of Music by Tonal Harmony Carlos Perez-Sancho Carlos Perez-Sancho
[syn] 3316 views, 19:50 Using Mathematical Morphology for Geometric Music RetrievalUsing Mathematical Morphology for Geometric Music Retrieval Mikko Karvonen Mikko Karvonen	[syn] 4551 views, 14:36 Learning to analyse tonal musicLearning to analyse tonal music David Rizo Valero David Rizo Valero	[syn] 4546 views, 20:24 Chorale Harmonization in the Style of J.S. Bach, A Machine Learning ApproachChorale Harmonization in the Style of J.S. Bach, A Machine ... Menno M. van Zaanen Menno M. van Zaanen 1 comment	[syn] 3514 views, 20:28 An information-dynamic model of melodic segmentationAn information-dynamic model of melodic segmentation Marcus T. Pearce Marcus T. Pearce	[syn] 5162 views, 18:11 Melody Characterization by a Fuzzy Rule SystemMelody Characterization by a Fuzzy Rule System David Rizo Valero David Rizo Valero
[syn] 4553 views, 20:27 Detecting Changes in Musical TextureDetecting Changes in Musical Texture Atte Tenkanen Atte Tenkanen 1 comment
Workshop on Nonparametric Bayes Workshop
[syn] 4790 views, 03:39 Welcome and introductionWelcome and introduction Yee Whye Teh Yee Whye Teh	[syn] 4974 views, 43:13 Invited speaker Time Dependent Stick Breaking ProcessesTime Dependent Stick Breaking Processes Jim Griffin Jim Griffin	[syn] 7103 views, 15:40 The Infinite Factorial Hidden Markov ModelThe Infinite Factorial Hidden Markov Model Jurgen Van Gael Jurgen Van Gael	[syn] 5289 views, 19:53 Dynamic Non-Parametric Mixture Models and The Recurrent Chinese Restaurant ProcessDynamic Non-Parametric Mixture Models and The Recurrent Chinese Restaurant Process Eric P. Xing Eric P. Xing 2 comments	[syn] 5338 views, 33:33 Invited speaker Nonparametric Functional Data AnalysisNonparametric Functional Data Analysis Sonia Petrone Sonia Petrone
[syn] 6440 views, 17:21 Nonparametric Bayesian Density Modeling with Gaussian ProcessesNonparametric Bayesian Density Modeling with Gaussian Processes Ryan Prescott Adams Ryan Prescott Adams	3872 views, 06:11 Hierarchical Base CompilerHierarchical Base Compiler Hal Daumé III Hal Daumé III	[syn] 4158 views, 16:38 A stochastic programming perspective on nonparametric BayesA stochastic programming perspective on nonparametric Bayes Daniel Roy Daniel Roy	[syn] 3275 views, 06:49 Ingredients for Developing NPB Software Ingredients for Developing NPB Software Max Welling Max Welling	[syn] 3402 views, 20:05 On a Sub-optimality ConjectureOn a Sub-optimality Conjecture Catia Scricciolo Catia Scricciolo
[syn] 3936 views, 40:50 Invited speaker Covariate Dependent Random PartitionsCovariate Dependent Random Partitions Peter Mueller Peter Mueller	[syn] 5988 views, 21:16 Nonparametric Learning of Switching Autoregressive ProcessesNonparametric Learning of Switching Autoregressive Processes Emily Fox Emily Fox 1 comment	5980 views, 19:08 The Mondrian ProcessThe Mondrian Process Daniel Roy Daniel Roy
Workshop on Prior Knowledge for Text and Language
[syn] 2697 views, 04:02 Opening RemarksOpening Remarks Marc Dymetman Marc Dymetman	[syn] 4700 views, 43:27 Invited speaker Learning Rules: From PCFGs to Adaptor GrammarsLearning Rules: From PCFGs to Adaptor Grammars Mark Johnson Mark Johnson	[syn] 3264 views, 26:56 Constraints as Prior KnowledgeConstraints as Prior Knowledge Dan Roth Dan Roth	[syn] 3617 views, 42:59 Invited speaker Some thoughts on prior knowledge, deep architectures and NLPSome thoughts on prior knowledge, deep architectures and NLP Jason Weston Jason Weston	[syn] 3264 views, 11:03 Poster: Using Participant Role in Multiparty Meetings as Prior Knowledge for Nonparametric Topic Modeling Poster: Using Participant Role in Multiparty Meetings as Prior Knowledge ... Songfang Huang Songfang Huang
[syn] 2998 views, 12:29 Poster: Knowledge as a Constraint on Uncertainty for Unsupervised Classification: A Study in Part-of-Speech Tagging Poster: Knowledge as a Constraint on Uncertainty for Unsupervised Classification: ... Thomas J. Murray Thomas J. Murray	[syn] 3140 views, 06:30 Poster: Using Prior Domain Knowledge to Build HMM-Based Semantic Tagger Trained on Completely Unannotated DataPoster: Using Prior Domain Knowledge to Build HMM-Based Semantic Tagger ... Kinfe Tadesse Mengistu Kinfe Tadesse Mengistu 2 comments	3774 views, 06:21 Poster: Dirichlet Process Mixture Models for Verb Clustering Poster: Dirichlet Process Mixture Models for Verb Clustering Andreas Vlachos Andreas Vlachos	[syn] 7868 views, 46:35 Invited speaker Incorporating Prior Knowledge into NLP with Markov LogicIncorporating Prior Knowledge into NLP with Markov Logic Pedro Domingos Pedro Domingos	[syn] 7226 views, 23:47 Expanding a Gazetteer-Based Approach for Geo-Parsing Disease AlertsExpanding a Gazetteer-Based Approach for Geo-Parsing Disease Alerts Mikaela Keller Mikaela Keller
[syn] 5266 views, 28:50 Bayesian Modeling of Dependency Trees Using Hierarchical Pitman-Yor PriorsBayesian Modeling of Dependency Trees Using Hierarchical Pitman-Yor Priors Hanna M. Wallach Hanna M. Wallach 1 comment	[syn] 3074 views, 08:09 The Luckiness PrincipleThe Luckiness Principle Peter Grünwald Peter Grünwald	[syn] 6027 views, 05:21 Encoding prior knowledge in text processingEncoding prior knowledge in text processing David Blei David Blei 1 comment	4748 views, 08:15 Why isn’t linguistics more useful in NLP?Why isn’t linguistics more useful in NLP? Mark Johnson Mark Johnson	[syn] 3316 views, 09:05 Knowledge and LanguageKnowledge and Language Pedro Domingos Pedro Domingos
[syn] 2966 views, 06:59 Panel: Complex Model => Rich Prior KnowledgePanel: Complex Model => Rich Prior Knowledge Fabrizio Costa Fabrizio Costa	[syn] 3920 views, 06:57 Panel: Priors, Deep Architectures and NLP: YOU ARE DOING EVERYTHING WRONG!!Panel: Priors, Deep Architectures and NLP: YOU ARE DOING EVERYTHING ... Jason Weston Jason Weston	[syn] 4713 views, 23:19 DRASO: Declaratively Regularized Alternating Structural OptimizationDRASO: Declaratively Regularized Alternating Structural Optimization Partha Pratim Talukdar Partha Pratim Talukdar
Workshop on Recent Breakthroughs in Minimum Description Length Learning
[syn] 11992 views, 1:23:45 MDL TutorialMDL Tutorial Peter Grünwald Peter Grünwald	[syn] 2949 views, 29:51 Fast computation of NML for Bayesian networksFast computation of NML for Bayesian networks Petri Myllymäki Petri Myllymäki	[syn] 2999 views, 23:18 Extensions to MDL denoisingExtensions to MDL denoising Janne Ojanen Janne Ojanen	[syn] 3321 views, 23:41 Nonparametric density estimation by switchingNonparametric density estimation by switching Steven de Rooij Steven de Rooij	[syn] 3085 views, 30:04 Sequential and factorized NML modelsSequential and factorized NML models Tomi Silander Tomi Silander
[syn] 3907 views, 26:17 Generalization theory of two-part code MDL estimatorGeneralization theory of two-part code MDL estimator Tong Zhang Tong Zhang	[syn] 3861 views, 28:28 Normalized maximum likelihood models in genomicsNormalized maximum likelihood models in genomics Ioan Tabus Ioan Tabus	[syn] 3196 views, 31:29 Information consistency of nonparametric Gaussian process methodsInformation consistency of nonparametric Gaussian process methods Matthias W. Seeger Matthias W. Seeger
Workshop on PASCAL Large Scale Learning Challenge
[syn] 3696 views, 38:08 Large Scale Learning - ChallengeLarge Scale Learning - Challenge Sören Sonnenburg, Vojtech Franc Sören Sonnenburg, Vojtech Franc	[syn] 4450 views, 50:32 Large Scale Learning Which Is Actually UsefulLarge Scale Learning Which Is Actually Useful Ronan Collobert Ronan Collobert	[syn] 4363 views, 22:11 Pascal Challenge: Linear Support Vector MachinesPascal Challenge: Linear Support Vector Machines Hsiang-Fu Yu Hsiang-Fu Yu	[syn] 4246 views, 19:57 Parallel streaming decision treesParallel streaming decision trees Yossi Richter Yossi Richter	[syn] 3211 views, 31:48 CTJLSVM: Componentwise Triple Jump Acceleration for Training Linear SVMCTJLSVM: Componentwise Triple Jump Acceleration for Training Linear SVM Chun-Nan Hsu Chun-Nan Hsu
[syn] 3253 views, 28:47 An Efficient Parameter - Free Method for Large Scale Offline LearningAn Efficient Parameter - Free Method for Large Scale Offline ... Marc Boulle Marc Boulle	[syn] 5966 views, 39:33 Training Support Vector Machines: Status and ChallengesTraining Support Vector Machines: Status and Challenges Chih-Jen Lin Chih-Jen Lin	[syn] 3848 views, 04:53 Interior Point SVMInterior Point SVM Sören Sonnenburg Sören Sonnenburg	[syn] 5896 views, 31:56 Large Scale Support Vector MachinesLarge Scale Support Vector Machines Chih-Jen Lin Chih-Jen Lin	[syn] 6399 views, 32:05 LaRank, SGD-QN - Fast Optimizers for Linear SVMLaRank, SGD-QN - Fast Optimizers for Linear SVM Antoine Bordes Antoine Bordes
[syn] 3235 views, 56:39 Large Scale Learning - Challenge: Discussion and SummaryLarge Scale Learning - Challenge: Discussion and Summary Sören Sonnenburg Sören Sonnenburg	[syn] 3385 views, 24:30 Averaging Support Vector Machines for Processing Large Data SetsAveraging Support Vector Machines for Processing Large Data Sets Jochen Garcke Jochen Garcke