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HPDC
1999
IEEE
15 years 11 months ago
Using Embedded Network Processors to Implement Global Memory Management in a Workstation Cluster
Advances in network technology continue to improve the communication performance of workstation and PC clusters, making high-performance workstation-clustercomputing increasingly ...
Yvonne Coady, Joon Suan Ong, Michael J. Feeley
GECCO
2006
Springer
177views Optimization» more  GECCO 2006»
15 years 11 months ago
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure
The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
NIPS
2008
15 years 8 months ago
Biasing Approximate Dynamic Programming with a Lower Discount Factor
Most algorithms for solving Markov decision processes rely on a discount factor, which ensures their convergence. It is generally assumed that using an artificially low discount f...
Marek Petrik, Bruno Scherrer
AAAI
1996
15 years 8 months ago
Enhancements of Branch and Bound Methods for the Maximal Constraint Satisfaction Problem
Two methods are described for enhancing performance of branch and bound methods for overconstrained CSPS. These methods improve either the upper or lower bound, respectively, duri...
Richard J. Wallace
ICML
2010
IEEE
15 years 8 months ago
Active Learning for Multi-Task Adaptive Filtering
In this paper, we propose an Active Learning (AL) framework for the Multi-Task Adaptive Filtering (MTAF) problem. Specifically, we explore AL approaches to rapidly improve an MTAF...
Abhay Harpale, Yiming Yang