908 search results - page 167 / 182 » Stochastic Finite Learning |
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
EGC
2005
Springer
14 years 1 months ago
2005
Springer
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
COLT
2004
Springer
14 years 28 days ago
2004
Springer
We study the properties of the Minimum Description Length principle for sequence prediction, considering a two-part MDL estimator which is chosen from a countable class of models....
SC
2000
ACM
13 years 12 months ago
2000
ACM
We present a scalable, high-performance solution to multidimensional recurrences that arise in adaptive statistical designs. Adaptive designs are an important class of learning al...
ICCAD
1997
IEEE
13 years 11 months ago
1997
IEEE
An algorithm that remains in use at the core of many partitioning systems is the Kernighan-Lin algorithm and a variant the Fidducia-Matheysses (FM) algorithm. To understand the FM...