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» The C1C2: A framework for simultaneous model selection and a...
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CCE
2005
13 years 7 months ago
Selecting maximally informative genes
Microarray experiments are emerging as one of the main driving forces in modern biology. By allowing the simultaneous monitoring of the expression of the entire genome for a given...
Ioannis P. Androulakis
ICANN
2007
Springer
14 years 1 months ago
Structure Learning with Nonparametric Decomposable Models
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
Anton Schwaighofer, Mathäus Dejori, Volker Tr...
CHES
2003
Springer
100views Cryptology» more  CHES 2003»
14 years 26 days ago
Multi-channel Attacks
We introduce multi-channel attacks, i.e., side-channel attacks which utilize multiple side-channels such as power and EM simultaneously. We propose an adversarial model which combi...
Dakshi Agrawal, Josyula R. Rao, Pankaj Rohatgi
SDM
2007
SIAM
162views Data Mining» more  SDM 2007»
13 years 9 months ago
Probabilistic Joint Feature Selection for Multi-task Learning
We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...
Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherk...
HICSS
2006
IEEE
198views Biometrics» more  HICSS 2006»
14 years 1 months ago
Modeling Initial and Repeat Online Trust in B2C E-Commerce
Prior research has demonstrated that the degrees and impact of customer trust on purchase intentions change with online experience. While online trust research has incorporated an...
Wei-Chang Kong, Yu-Ting Caisy Hung