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159
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CORR
2010
Springer
162views Education» more  CORR 2010»
15 years 4 months ago
Random sampling of lattice paths with constraints, via transportation
We investigate Monte Carlo Markov Chain (MCMC) procedures for the random sampling of some one-dimensional lattice paths with constraints, for various constraints. We will see that...
Lucas Gerin
EC
2006
195views ECommerce» more  EC 2006»
15 years 4 months ago
Automated Global Structure Extraction for Effective Local Building Block Processing in XCS
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
Martin V. Butz, Martin Pelikan, Xavier Llorà...
143
Voted
ICCAD
2006
IEEE
131views Hardware» more  ICCAD 2006»
16 years 1 months ago
High-level synthesis challenges and solutions for a dynamically reconfigurable processor
A dynamically reconfigurable processor (DRP) is designed to achieve high area efficiency by switching reconfigurable data paths dynamically. Our DRP architecture has a stand alone...
Takao Toi, Noritsugu Nakamura, Yoshinosuke Kato, T...
CF
2008
ACM
15 years 6 months ago
A distributed evolutionary method to design scheduling policies for volunteer computing
Volunteer Computing (VC) is a paradigm that takes advantage of idle cycles from computing resources donated by volunteers and connected through the Internet to compute large-scale...
Trilce Estrada, Olac Fuentes, Michela Taufer
141
Voted
AAAI
2000
15 years 6 months ago
Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems
One challenge for research in constraint-based scheduling has been to produce scalable solution procedures under fairly general representational assumptions. Quite often, the comp...
Amedeo Cesta, Angelo Oddi, Stephen F. Smith