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» Classifier Selection Based on Data Complexity Measures
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ISMIR
2004
Springer
165views Music» more  ISMIR 2004»
15 years 3 months ago
Musical instrument recognition based on class pairwise feature selection
In this work, musical instrument recognition is considered on solo music from real world performance. A large sound database is used that consists of musical phrases excerpted fro...
Slim Essid, Gaël Richard, Bertrand David
SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
14 years 11 months ago
A Compression Based Distance Measure for Texture
The analysis of texture is an important subroutine in application areas as diverse as biology, medicine, robotics, and forensic science. While the last three decades have seen ext...
Bilson J. L. Campana, Eamonn J. Keogh
AUSDM
2008
Springer
211views Data Mining» more  AUSDM 2008»
14 years 12 months ago
LBR-Meta: An Efficient Algorithm for Lazy Bayesian Rules
LBR is a highly accurate classification algorithm, which lazily constructs a single Bayesian rule for each test instance at classification time. However, its computational complex...
Zhipeng Xie
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 3 months ago
Applying both positive and negative selection to supervised learning for anomaly detection
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Xiaoshu Hang, Honghua Dai
DATAMINE
2006
157views more  DATAMINE 2006»
14 years 10 months ago
Data Clustering with Partial Supervision
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
Abdelhamid Bouchachia, Witold Pedrycz