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AAAI
1998
13 years 9 months ago
Fast Probabilistic Modeling for Combinatorial Optimization
Probabilistic models have recently been utilized for the optimization of large combinatorial search problems. However, complex probabilistic models that attempt to capture interpa...
Shumeet Baluja, Scott Davies
GECCO
2007
Springer
171views Optimization» more  GECCO 2007»
14 years 2 months ago
Toward a better understanding of rule initialisation and deletion
A number of heuristics have been used in Learning Classifier Systems to initialise parameters of new rules, to adjust fitness of parent rules when they generate offspring, and ...
Tim Kovacs, Larry Bull
ISCC
2006
IEEE
133views Communications» more  ISCC 2006»
14 years 2 months ago
Choosing Weights for IP Network Dimensioning Optimization
Often in Internet Protocol (IP) networks, links are assigned weights, and traffic demands are routed along shortest paths. Hence, these link weights are the parameters which dete...
Olivier Klopfenstein, Sebastien Mamy
AUSAI
2004
Springer
14 years 1 months ago
Learning the Grammar of Distant Change in the World-Wide Web
One problem many Web users encounter is to keep track of changes of distant Web sources. Push services, informing clients about data changes, are frequently not provided by Web ser...
Dirk Kukulenz
VLSISP
1998
111views more  VLSISP 1998»
13 years 8 months ago
Quantitative Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
Yue Wang, Tülay Adali, Chi-Ming Lau, Sun-Yuan...