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» Classification of musical genre: a machine learning approach
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ISMIR
2004
Springer
111views Music» more  ISMIR 2004»
15 years 5 months ago
Feature Weighting for Segmentation
This paper proposes the use of feature weights to reveal the hierarchical nature of music audio. Feature weighting has been exploited in machine learning, but has not been applied...
R. Mitchell, Irfan A. Essa
ECML
2007
Springer
15 years 3 months ago
Quality of Musical Instrument Sound Identification for Various Levels of Accompanying Sounds
Research on automatic identification of musical instrument sounds has already been performed through last years, but mainly for monophonic singular sounds. In this paper we work on...
Alicja Wieczorkowska, Elzbieta Kolczynska
79
Voted
ML
2006
ACM
14 years 11 months ago
Relational IBL in classical music
It is well known that many hard tasks considered in machine learning and data mining can be solved in a rather simple and robust way with an instanceand distance-based approach. In...
Asmir Tobudic, Gerhard Widmer
SIGKDD
2002
92views more  SIGKDD 2002»
14 years 11 months ago
A Machine Learning Approach for the Curation of Biomedical Literature - KDD Cup 2002 (Task 1)
In this paper, we present an automated text classification system for the classification of biomedical papers. This classification is based on whether there is experimental eviden...
S. Sathiya Keerthi, Chong Jin Ong, Keng Boon Siah,...
97
Voted
ICMLA
2010
14 years 9 months ago
A New Approach to Classification with the Least Number of Features
Recently, the so-called Support Feature Machine (SFM) was proposed as a novel approach to feature selection for classification, based on minimisation of the zero norm of a separati...
Sascha Klement, Thomas Martinetz