Workshops

Workshop on Machine Learning and Music
16 views, 00:18:36 Musical Source Separation using Generalised Non-Negative Tensor Factorisation Models Derry FitzGerald	[syn]  13 views, 00:17:58 Learning Violinist's Expressive Trends Miguel Molina-Solana	7 views, 00:19:55 The Potential of Reinforcement Learning for Live Musical Agents Nick Collins	[syn]  6 views, 00:20:29 Modeling Celtic Violin Expressive Performance Rafael Ramirez
[syn]  22 views, 00:16:05 Identifying Cover Songs Using Normalized Compression Distance Teppo E. Ahonen	[syn]  32 views, 00:20:25 Towards Logic-based Representations of Musical Harmony for Classification, Retrieval and Knowledge Discovery Amelie Anglade	[syn]  23 views, 00:15:08 Metropolis-Hastings Sampling in a FilterBoost Music Classifier Thierry Bertin-Mahieux	[syn]  9 views, 00:23:50 Composer classification using grammatical inference Menno M. van Zaanen
14 views, 00:17:16 Training Music Sequence Recognizers with Linear Dynamic Programming Eric Nichols	11 views, 00:20:56 Genre Classification of Music by Tonal Harmony Carlos Perez-Sancho	[syn]  13 views, 00:19:50 Using Mathematical Morphology for Geometric Music Retrieval Mikko Karvonen	13 views, 00:14:33 Learning to analyse tonal music David Rizo Valero
[syn]  20 views, 00:20:30 Chorale Harmonization in the Style of J.S. Bach, A Machine Learning Approach Menno M. van Zaanen 1 comment	[syn]  1 view, 00:20:28 An information-dynamic model of melodic segmentation Marcus T. Pearce	[syn]  13 views, 00:18:11 Melody Characterization by a Fuzzy Rule System David Rizo Valero	[syn]  48 views, 00:20:27 Detecting Changes in Musical Texture Atte Tenkanen 1 comment
Workshop on Nonparametric Bayes Workshop
20 views, 00:03:39 Welcome and introduction Yee Whye Teh	Invited speaker [syn]  17 views, 00:43:12 Time Dependent Stick Breaking Processes Jim Griffin	[syn]  73 views, 00:15:40 The Infinite Factorial Hidden Markov Model Jurgen Van Gael	[syn]  35 views, 00:19:53 Dynamic Non-Parametric Mixture Models and The Recurrent Chinese Restaurant Process Eric Xing
Invited speaker [syn]  23 views, 00:33:31 Nonparametric Functional Data Analysis Sonia Petrone	[syn]  36 views, 00:17:20 Nonparametric Bayesian Density Modeling with Gaussian Processes Ryan Prescott Adams	[syn]  22 views, 00:06:15 Hierarchical Base Compiler Hal Daume	11 views, 00:16:38 A stochastic programming perspective on nonparametric Bayes Daniel Roy
10 views, 00:06:49 Ingredients for Developing NPB Software Max Welling	[syn]  9 views, 00:20:05 On a Sub-optimality Conjecture Catia Scricciolo	Invited speaker [syn]  21 views, 00:40:49 Covariate Dependent Random Partitions Peter Mueller	[syn]  24 views, 00:21:16 Nonparametric Learning of Switching Autoregressive Processes Emily Fox
46 views, 00:19:08 The Mondrian Process Daniel Roy
Workshop on Prior Knowledge for Text and Language
[syn]  4 views, 00:04:02 Opening Remarks Marc Dymetman	Invited speaker [syn]  13 views, 00:43:27 Learning Rules: From PCFGs to Adaptor Grammars Mark Johnson	[syn]  16 views, 00:26:56 Constraints as Prior Knowledge Dan Roth	Invited speaker [syn]  13 views, 00:42:59 Some thoughts on prior knowledge, deep architectures and NLP Jason Weston
7 views, 00:11:03 Poster: Using Participant Role in Multiparty Meetings as Prior Knowledge for Nonparametric Topic Modeling Songfang Huang	[syn]  1 view, 00:12:29 Poster: Knowledge as a Constraint on Uncertainty for Unsupervised Classification: A Study in Part-of-Speech Tagging Thomas J. Murray	[syn]  11 views, 00:06:30 Poster: Using Prior Domain Knowledge to Build HMM-Based Semantic Tagger Trained on Completely Unannotated Data Kinfe Tadesse Mengistu	17 views, 00:06:21 Poster: Dirichlet Process Mixture Models for Verb Clustering Andreas Vlachos
Invited speaker [syn]  54 views, 00:46:35 Incorporating Prior Knowledge into NLP with Markov Logic Pedro Domingos	[syn]  84 views, 00:23:47 Expanding a Gazetteer-Based Approach for Geo-Parsing Disease Alerts Mikaela Keller	[syn]  21 views, 00:28:50 Bayesian Modeling of Dependency Trees Using Hierarchical Pitman-Yor Priors Hanna M. Wallach	10 views, 00:08:09 Panel: The Luckiness Principle Peter Grünwald
27 views, 00:05:21 Panel: Encoding prior knowledge in text processing David Blei	27 views, 00:08:15 Panel: Why isn’t linguistics more useful in NLP? Mark Johnson	24 views, 00:09:05 Panel: Knowledge and Language Pedro Domingos	12 views, 00:06:59 Panel: Complex Model => Rich Prior Knowledge Fabrizio Costa
28 views, 00:06:57 Panel: Priors, Deep Architectures and NLP: YOU ARE DOING EVERYTHING WRONG!! Jason Weston	[syn]  20 views, 00:23:19 DRASO: Declaratively Regularized Alternating Structural Optimization Partha Pratim Talukdar
Workshop on Recent Breakthroughs in Minimum Description Length Learning
[syn]  99 views, 01:23:44 MDL Tutorial Peter Grünwald	[syn]  5 views, 00:29:51 Fast computation of NML for Bayesian networks Petri Myllymäki	[syn]  8 views, 00:23:18 Extensions to MDL denoising Janne Ojanen	[syn]  3 views, 00:23:41 Nonparametric density estimation by switching Steven de Rooij
[syn]  3 views, 00:30:04 Sequential and factorized NML models Tomi Silander	[syn]  14 views, 00:26:17 Generalization theory of two-part code MDL estimator Tong Zhang	[syn]  8 views, 00:28:27 Normalized maximum likelihood models in genomics Ioan Tabus	[syn]  12 views, 00:31:29 Information consistency of nonparametric Gaussian process methods Mathias Seeger
Workshop on PASCAL Large Scale Learning Challenge
[syn]  12 views, 00:38:08 Large Scale Learning - Challenge Sören Sonnenburg, Vojtech Franc	[syn]  30 views, 00:50:32 Large Scale Learning Which Is Actually Useful Ronan Collobert	[syn]  7 views, 00:22:11 Pascal Challenge: Linear Support Vector Machines Hsiang-Fu Yu	[syn]  21 views, 00:19:57 Parallel streaming decision trees Yossi Richter
[syn]  19 views, 00:31:48 CTJLSVM: Componentwise Triple Jump Acceleration for Training Linear SVM Chun-Nan Hsu	[syn]  19 views, 00:28:47 An Efficient Parameter - Free Method for Large Scale Offline Learning Marc Boulle	[syn]  28 views, 00:39:33 Training Support Vector Machines: Status and Challenges Chih-Jen Lin	[syn]  13 views, 00:04:53 Interior Point SVM Sören Sonnenburg
[syn]  32 views, 00:31:56 Large Scale Support Vector Machines Chih-Jen Lin	[syn]  21 views, 00:32:04 LaRank, SGD-QN - Fast Optimizers for Linear SVM Antoine Bordes	[syn]  7 views, 00:56:39 Large Scale Learning - Challenge: Discussion and Summary Sören Sonnenburg	[syn]  10 views, 00:24:30 Averaging Support Vector Machines for Processing Large Data Sets Jochen Garcke