Ensemble Classifiers: Toolboxes and links

This link to Matlab Toolboxes is not new but still remains quite useful, especially as it is updated.

ENTOOL: Ensemble Classifiers for Statistical Learning (Toolbox for Matlab)

• Overview documentation
• ENTOOL website

Classification Tool (Matlab)

• Guide
• Software, discussion, book material

Learning and Mining from Data

• Lots of examples available

Feature Extraction, Foundations and Applications by Isabelle Guyon, Steve Gunn, Masoud Nikravesh, and Lofti Zadeh

• Course material
• Source code

DART-Europe E-theses Portal

DART-Europe E-theses Portal is available for use to search online thesis repositories to subscribing universities and institutions.

The following theses are of interest:

• Audio content processing for automatic music genre classification : descriptors, databases, and classifiers, Guaus, Enric.
• Aspects in Analysis and Model-Based Sound Synthesis of Plucked String Instruments, Erkut, Cumhur
• Correspondences between music and body movement, Haga, Egil
• Design and realisation of an efficient content based music playlist generation system, Balkema, Jan Wietse
• Feature extraction of musical content for automatic music transcription, Zhou, Ruohua
• Machine annotation of traditional Irish dance music, Duggan, Bryan
• Music complexity: a multi-faceted description of audio content, Streich, Sebastian
• Probabilistic models for music, Paiement, Jean-François
• Searching and Classifying non-textual information, Arentz, Will Archer
• Structural analysis and segmentation of music signals, Ong, Bee Suan
• The acoustics of the violin, Johnson, E
• Tonal description of music audio signals, Gómez Gutiérrez, Emilia
• Acoustic Event Detection and Classification, Temko, Andriy
• Audio content processing for automatic music genre classification : descriptors, databases, and classifiers, Guaus, Enric