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GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
14 years 4 months ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden
IPPS
2005
IEEE
14 years 3 months ago
A Dependency Chain Clustered Microarchitecture
In this paper we explore a new clustering approach for reducing the complexity of wide issue in-order processors based on EPIC architectures. Complexity effectiveness is achieved ...
Satish Narayanasamy, Hong Wang 0003, Perry H. Wang...
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
14 years 10 months ago
Efficient influence maximization in social networks
Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence. In this paper, we study the ...
Wei Chen, Yajun Wang, Siyu Yang
UAI
1997
13 years 11 months ago
A Scheme for Approximating Probabilistic Inference
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
Rina Dechter, Irina Rish
ICCV
2003
IEEE
14 years 12 months ago
Image Registration with Global and Local Luminance Alignment
Inspired by tensor voting, we present luminance voting, a novel approach for image registration with global and local luminance alignment. The key to our modeless approach is the ...
Jiaya Jia, Chi-Keung Tang