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» Classification of musical genre: a machine learning approach
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NIPS
2001
15 years 3 months ago
A kernel method for multi-labelled classification
This article presents a Support Vector Machine (SVM) like learning system to handle multi-label problems. Such problems are usually decomposed into many two-class problems but the...
André Elisseeff, Jason Weston
113
Voted
MLDM
2008
Springer
15 years 1 months ago
Classification Based on Consistent Itemset Rules
Abstract. We propose an approach to build a classifier composing consistent (100% confident) rules. Recently, associative classifiers that utilize association rules have been widel...
Yohji Shidara, Mineichi Kudo, Atsuyoshi Nakamura
TNN
2010
176views Management» more  TNN 2010»
14 years 8 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 2 months ago
Effective multi-label active learning for text classification
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
Bishan Yang, Jian-Tao Sun, Tengjiao Wang, Zheng Ch...
ICMI
2005
Springer
140views Biometrics» more  ICMI 2005»
15 years 7 months ago
An initial usability assessment for symbolic haptic rendering of music parameters
Current methods of playlist creation and maintenance do not support user needs, especially in a mobile context. Furthermore, they do not scale: studies show that users with large ...
Meghan Allen, Jennifer Gluck, Karon E. MacLean, Er...