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207
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ICML
2004
IEEE
16 years 8 days ago
Learning a kernel matrix for nonlinear dimensionality reduction
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul
PPSN
2004
Springer
16 years 6 days ago
Searching Transcriptional Modules Using Evolutionary Algorithms
The mechanism of gene regulation has been studied intensely for decades. It is important to identify synergistic transcriptional motifs. Its search space is so large that an effici...
Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang
ISHPC
2003
Springer
16 years 1 days ago
Code and Data Transformations for Improving Shared Cache Performance on SMT Processors
Simultaneous multithreaded processors use shared on-chip caches, which yield better cost-performance ratios. Sharing a cache between simultaneously executing threads causes excessi...
Dimitrios S. Nikolopoulos
164
Voted
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 10 months ago
Standard and averaging reinforcement learning in XCS
This paper investigates reinforcement learning (RL) in XCS. First, it formally shows that XCS implements a method of generalized RL based on linear approximators, in which the usu...
Pier Luca Lanzi, Daniele Loiacono
FLAIRS
2008
15 years 9 months ago
A Novel Prioritization Technique for Solving Markov Decision Processes
We address the problem of computing an optimal value function for Markov decision processes. Since finding this function quickly and accurately requires substantial computation ef...
Jilles Steeve Dibangoye, Brahim Chaib-draa, Abdel-...