Workshops

Workshops

67 Lectures · Jul 8, 2008

Uploaded videos:

Workshop on Machine Learning and Music

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18:33

Musical Source Separation using Generalised Non-Negative Tensor Factorisation Mo...

Derry FitzGerald

Jul 28, 2008

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3250 Views

Lecture
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18:00

Learning Violinist's Expressive Trends

Miguel Molina-Solana

Jul 28, 2008

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2898 Views

Lecture
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18:11

The Potential of Reinforcement Learning for Live Musical Agents

Nick Collins

Jul 28, 2008

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3244 Views

Lecture
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17:07

Modeling Celtic Violin Expressive Performance

Rafael Ramirez

Jul 28, 2008

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3083 Views

Lecture
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16:24

Identifying Cover Songs Using Normalized Compression Distance

Teppo E. Ahonen

Jul 30, 2008

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3846 Views

Lecture
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20:29

Towards Logic-based Representations of Musical Harmony for Classification, Retri...

Amelie Anglade

Jul 30, 2008

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3956 Views

Lecture
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15:06

Metropolis-Hastings Sampling in a FilterBoost Music Classifier

Thierry Bertin-Mahieux

Jul 30, 2008

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3178 Views

Lecture
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23:47

Composer classification using grammatical inference

Menno M. van Zaanen

Jul 30, 2008

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3185 Views

Lecture
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17:09

Training Music Sequence Recognizers with Linear Dynamic Programming

Eric Nichols

Jul 30, 2008

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2850 Views

Lecture
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21:04

Genre Classification of Music by Tonal Harmony

Carlos Perez-Sancho

Jul 31, 2008

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3960 Views

Lecture
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19:50

Using Mathematical Morphology for Geometric Music Retrieval

Mikko Karvonen

Aug 11, 2008

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3323 Views

Lecture
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14:36

Learning to analyse tonal music

David Rizo Valero

Jul 31, 2008

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4559 Views

Lecture
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20:24

Chorale Harmonization in the Style of J.S. Bach, A Machine Learning Approach

Menno M. van Zaanen

Jul 31, 2008

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4559 Views

Lecture
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20:28

An information-dynamic model of melodic segmentation

Marcus T. Pearce

Jul 31, 2008

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3528 Views

Lecture
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18:11

Melody Characterization by a Fuzzy Rule System

David Rizo Valero

Jul 31, 2008

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5171 Views

Lecture
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20:27

Detecting Changes in Musical Texture

Atte Tenkanen

Jul 31, 2008

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4569 Views

Lecture

Workshop on Nonparametric Bayes Workshop

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03:39

Welcome and introduction

Yee Whye Teh

Aug 04, 2008

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4807 Views

Opening
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43:13

Time Dependent Stick Breaking Processes

Jim Griffin

Aug 04, 2008

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4990 Views

Invited Talk
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15:40

The Infinite Factorial Hidden Markov Model

Jurgen Van Gael

Aug 04, 2008

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7119 Views

Lecture
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19:53

Dynamic Non-Parametric Mixture Models and The Recurrent Chinese Restaurant Proce...

Eric P. Xing

Aug 04, 2008

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5300 Views

Lecture
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33:33

Nonparametric Functional Data Analysis

Sonia Petrone

Aug 04, 2008

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5355 Views

Invited Talk
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17:21

Nonparametric Bayesian Density Modeling with Gaussian Processes

Ryan Prescott Adams

Aug 04, 2008

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6462 Views

Lecture
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06:11

Hierarchical Base Compiler

Hal Daumé III

Aug 07, 2008

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3890 Views

Lecture
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16:38

A stochastic programming perspective on nonparametric Bayes

Daniel Roy

Aug 04, 2008

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4171 Views

Lecture
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06:49

Ingredients for Developing NPB Software

Max Welling

Aug 07, 2008

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3285 Views

Lecture
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20:05

On a Sub-optimality Conjecture

Catia Scricciolo

Aug 04, 2008

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3416 Views

Lecture
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40:50

Covariate Dependent Random Partitions

Peter Mueller

Aug 04, 2008

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3943 Views

Invited Talk
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21:16

Nonparametric Learning of Switching Autoregressive Processes

Emily Fox

Aug 04, 2008

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6020 Views

Lecture
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19:08

The Mondrian Process

Daniel Roy

Aug 04, 2008

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6024 Views

Lecture

Workshop on Prior Knowledge for Text and Language

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04:02

Opening Remarks

Marc Dymetman

Aug 11, 2008

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2705 Views

Lecture
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43:27

Learning Rules: From PCFGs to Adaptor Grammars

Mark Johnson

Aug 11, 2008

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4719 Views

Invited Talk
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26:56

Constraints as Prior Knowledge

Dan Roth

Aug 11, 2008

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3277 Views

Lecture
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42:59

Some thoughts on prior knowledge, deep architectures and NLP

Jason Weston

Aug 11, 2008

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3634 Views

Invited Talk
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11:03

Poster: Using Participant Role in Multiparty Meetings as Prior Knowledge for Non...

Songfang Huang

Aug 11, 2008

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3286 Views

Lecture
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12:29

Poster: Knowledge as a Constraint on Uncertainty for Unsupervised Classification...

Thomas J. Murray

Aug 11, 2008

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3017 Views

Lecture
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06:30

Poster: Using Prior Domain Knowledge to Build HMM-Based Semantic Tagger Trained ...

Kinfe Tadesse Mengistu

Aug 11, 2008

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3158 Views

Lecture
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06:21

Poster: Dirichlet Process Mixture Models for Verb Clustering

Andreas Vlachos

Aug 11, 2008

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3792 Views

Lecture
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46:35

Incorporating Prior Knowledge into NLP with Markov Logic

Pedro Domingos

Aug 11, 2008

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7882 Views

Invited Talk
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23:47

Expanding a Gazetteer-Based Approach for Geo-Parsing Disease Alerts

Mikaela Keller

Aug 11, 2008

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7238 Views

Lecture
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28:50

Bayesian Modeling of Dependency Trees Using Hierarchical Pitman-Yor Priors

Hanna M. Wallach

Aug 11, 2008

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5278 Views

Lecture
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08:09

The Luckiness Principle

Peter Grünwald

Aug 11, 2008

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3083 Views

Panel
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05:21

Encoding prior knowledge in text processing

David Blei

Aug 11, 2008

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6046 Views

Panel
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08:15

Why isn’t linguistics more useful in NLP?

Mark Johnson

Aug 11, 2008

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4757 Views

Panel
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09:05

Knowledge and Language

Pedro Domingos

Aug 11, 2008

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3332 Views

Panel
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06:59

Panel: Complex Model => Rich Prior Knowledge

Fabrizio Costa

Aug 11, 2008

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2986 Views

Lecture
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06:57

Panel: Priors, Deep Architectures and NLP: YOU ARE DOING EVERYTHING WRONG!!

Jason Weston

Aug 12, 2008

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3936 Views

Lecture
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23:19

DRASO: Declaratively Regularized Alternating Structural Optimization

Partha Pratim Talukdar

Aug 11, 2008

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4747 Views

Lecture

Workshop on Recent Breakthroughs in Minimum Description Length Learning

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01:23:45

MDL Tutorial

Peter Grünwald

Aug 12, 2008

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12027 Views

Tutorial
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29:51

Fast computation of NML for Bayesian networks

Petri Myllymäki

Aug 12, 2008

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2956 Views

Lecture
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23:18

Extensions to MDL denoising

Janne Ojanen

Aug 12, 2008

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3015 Views

Lecture
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23:41

Nonparametric density estimation by switching

Steven de Rooij

Aug 12, 2008

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3326 Views

Lecture
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30:04

Sequential and factorized NML models

Tomi Silander

Aug 13, 2008

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3094 Views

Lecture
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26:17

Generalization theory of two-part code MDL estimator

Tong Zhang

Aug 13, 2008

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3933 Views

Lecture
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28:28

Normalized maximum likelihood models in genomics

Ioan Tabus

Aug 13, 2008

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3879 Views

Lecture
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31:29

Information consistency of nonparametric Gaussian process methods

Matthias W. Seeger

Aug 13, 2008

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3203 Views

Lecture

Workshop on PASCAL Large Scale Learning Challenge

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38:08

Large Scale Learning - Challenge

Sören Sonnenburg,

Vojtech Franc

Sep 01, 2008

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3727 Views

Lecture
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50:32

Large Scale Learning Which Is Actually Useful

Ronan Collobert

Sep 01, 2008

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4468 Views

Lecture
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22:11

Pascal Challenge: Linear Support Vector Machines

Hsiang-Fu Yu

Sep 01, 2008

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4375 Views

Lecture
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19:57

Parallel streaming decision trees

Yossi Richter

Sep 01, 2008

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4254 Views

Lecture
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31:48

CTJLSVM: Componentwise Triple Jump Acceleration for Training Linear SVM

Chun-Nan Hsu

Sep 01, 2008

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3225 Views

Lecture
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28:47

An Efficient Parameter - Free Method for Large Scale Offline Learning

Marc Boulle

Sep 01, 2008

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3275 Views

Lecture
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39:33

Training Support Vector Machines: Status and Challenges

Chih-Jen Lin

Sep 01, 2008

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5975 Views

Lecture
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04:53

Interior Point SVM

Sören Sonnenburg

Sep 01, 2008

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3860 Views

Lecture
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31:56

Large Scale Support Vector Machines

Chih-Jen Lin

Sep 01, 2008

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5906 Views

Lecture
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32:05

LaRank, SGD-QN - Fast Optimizers for Linear SVM

Antoine Bordes

Sep 01, 2008

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6422 Views

Lecture
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56:39

Large Scale Learning - Challenge: Discussion and Summary

Sören Sonnenburg

Sep 01, 2008

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3247 Views

Lecture
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24:30

Averaging Support Vector Machines for Processing Large Data Sets

Jochen Garcke

Sep 01, 2008

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3404 Views

Lecture