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JMLR
2010
116views more  JMLR 2010»
13 years 4 days ago
Feature Selection, Association Rules Network and Theory Building
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...
Sanjay Chawla
TASLP
2010
138views more  TASLP 2010»
13 years 2 days ago
Glimpsing IVA: A Framework for Overcomplete/Complete/Undercomplete Convolutive Source Separation
Abstract--Independent vector analysis (IVA) is a method for separating convolutedly mixed signals that significantly reduces the occurrence of the well-known permutation problem in...
Alireza Masnadi-Shirazi, Wenyi Zhang, Bhaskar D. R...
ICASSP
2011
IEEE
12 years 9 months ago
Real-time conjugate gradients for online fMRI classification
Real-time functional magnetic resonance imaging (rtfMRI) enables classification of brain activity during data collection thus making inference results accessible to both the subj...
Hao Xu, Yongxin Taylor Xi, Ray Lee, Peter J. Ramad...
CHI
2011
ACM
12 years 9 months ago
MOGCLASS: evaluation of a collaborative system of mobile devices for classroom music education of young children
Composition, listening, and performance are essential activities in classroom music education, yet conventional music classes impose unnecessary limitations on students’ ability...
Yinsheng Zhou, Graham Percival, Xinxi Wang, Ye Wan...
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
11 years 7 months ago
Factoring past exposure in display advertising targeting
Online advertising is increasingly becoming more performance oriented, where the decision to show an advertisement to a user is made based on the user’s propensity to respond to...
Neha Gupta, Abhimanyu Das, Sandeep Pandey, Vijay K...