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» Classification of musical genre: a machine learning approach
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NIPS
2001
15 years 7 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
MLDM
2008
Springer
15 years 6 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»
15 years 25 days 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 6 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 11 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...