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Journal Publication: extended selected abstracts will be published in a special issue of Intelligent Data Analysis Journal.


 

Further questions about MML2008 Please contact: mml@iua.upf.edu

 

 

 

 

MML 2008
International Workshop on Machine Learning  and Music

Held in conjunction with ICML/COLT/UAI 2008

The 25th International Conference on Machine Learning,

The 24th Conference on Uncertainty in Artificial Intelligence, and

The 21st Annual Conference on Learning Theory
Helsinki, Finland
July 5-12, 2008

 

09:00-10:30 Session I

09:10

Musical Source Separation using Generalised Non-Negative Tensor Factorisation  Models
Derry FitzGerald, Matt Cranitch, Eugene Coyle

09:30

Learning Violinist's Expressive Trends
Miguel Molina-Solana, Josep Lluis Arcos, Emilia Gomez

09:50

The Potential of Reinforcement Learning for Live Musical Agents
Nick Collins

10:10

Modeling Celtic Violin Expressive Performance
Rafael Ramirez, Alfonso Perez, Stefan Kersten, David Rizo, Placido Roman, Jose M. Inesta.

10:30-11:00 Coffee break

11:00-12:40 Session II

11:00

Identifying Cover Songs Using Normalized Compression Distance
Teppo E. Ahonen, Kjell Lemstrom.

11:20

Towards Logic-based Representations of Musical Harmony for Classification, Retrieval and Knowledge Discovery
Amelie Anglade, Simon Dixon.

11:40

Metropolis-Hastings Sampling in a FilterBoost Music Classifier
Balazs Kegl, Thierry Bertin-Mahieux, Douglas Eck.

12:00

An Ensemble-Based Approach for Automatic Hierarchical Music Genre Classification
Carlos N. Silla Jr., Alex A. Freitas.

12:20

Composer classification using grammatical inference
Jeroen Geertzen, Menno van Zaanen

12:40-14:30 Lunch break

14:30-16:10 Session III

14:30

Training Music Sequence Recognizers with Linear Dynamic Programming
Christopher Raphael, Eric Nichols.

14:50

Genre Classification of Music by Tonal Harmony
Carlos Perez-Sancho, David Rizo, Stefan Kersten, Rafael Ramirez

15:10

Using Mathematical Morphology for Geometric Music Retrieval
Mikko Karvonen, Kjell Lemström

15:30

Learning to analyse tonal music
Placido R. Illescas, David Rizo, Jose Manuel Iñesta

15:50

Chorale Harmonization in the Style of J.S. Bach, A Machine Learning Approach
Alex Chilvers, Menno van Zaanen

16:10-16:40 Coffee break

16:40-18:00 Session IV

16:40

An information-dynamic model of melodic segmentation
Marcus T. Pearce, Daniel Mullensiefen, Geraint A. Wiggins

17:00

Discovery of distinctive patterns in music
Darrell Conklin

17:20

Melody Characterization by a Fuzzy Rule System
Pedro J. Ponce de León, David Rizo, Rafael Ramirez

17:40

Detecting Changes in Musical Texture
Atte Tenkanen, Fernando Gualda
 


18:00-20:00 Reception by the University of Helsinki
 

(ABSTRACTS)