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» Feature Selection for Inductive Generalization
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ICANN
2007
Springer
14 years 4 days ago
Classifying EEG Data into Different Memory Loads Across Subjects
Abstract. In this paper we consider the question of whether it is possible to classify n-back EEG data into different memory loads across subjects. To capture relevant information ...
Liang Wu, Predrag Neskovic
SIGIR
2002
ACM
13 years 8 months ago
Document clustering with cluster refinement and model selection capabilities
In this paper, we propose a document clustering method that strives to achieve: (1) a high accuracy of document clustering, and (2) the capability of estimating the number of clus...
Xin Liu, Yihong Gong, Wei Xu, Shenghuo Zhu
OIR
2007
95views more  OIR 2007»
13 years 7 months ago
Help features in digital libraries: types, formats, presentation styles, and problems
Purpose – The purpose of this paper is to evaluate Help features in digital libraries and identify problems related to their design. Design/methodology/approach – This study s...
Hong (Iris) Xie
ICML
2007
IEEE
14 years 9 months ago
Learning a meta-level prior for feature relevance from multiple related tasks
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
Su-In Lee, Vassil Chatalbashev, David Vickrey, Dap...
TASLP
2008
158views more  TASLP 2008»
13 years 8 months ago
Score-Independent Audio Features for Description of Music Expression
Abstract--During a music performance, the musician adds expressiveness to the musical message by changing timing, dynamics, and timbre of the musical events to communicate an expre...
Luca Mion, Giovanni De Poli