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» Learning and Applying Competitive Strategies
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STOC
2005
ACM
129views Algorithms» more  STOC 2005»
16 years 4 months ago
Learning with attribute costs
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
Haim Kaplan, Eyal Kushilevitz, Yishay Mansour
ESWA
2008
219views more  ESWA 2008»
15 years 4 months ago
Business intelligence approach to supporting strategy-making of ISP service management
The recent deregulation of telecommunication industry by the Taiwanese government has brought about the acute competition for Internet Service Providers (ISP). Taiwan's ISP i...
Sheng-Tun Li, Li-Yen Shue, Shu-Fen Lee
133
Voted
DIS
2009
Springer
15 years 10 months ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar
IJCNN
2008
IEEE
15 years 10 months ago
Kernel methods for fMRI pattern prediction
Abstract— In this paper, we present an effective computational approach for learning patterns of brain activity from the fMRI data. The procedure involved correcting motion artif...
Yizhao Ni, Carlton Chu, Craig J. Saunders, John As...
JUCS
2008
172views more  JUCS 2008»
15 years 4 months ago
A Hybrid Transgenetic Algorithm for the Prize Collecting Steiner Tree Problem
: Evolutionary algorithms are effective search tools for tackling difficult optimization problems. In this paper an algorithm based on living processes where cooperation is the mai...
Elizabeth Ferreira Gouvea Goldbarg, Marco Cé...