22 search results - page 1 / 5 » Loopy Substructural Local Search for the Bayesian Optimizati... |
SLS
2009
Springer
13 years 11 months ago
2009
Springer
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Iterated local search (ILS) is a powerful meta-heuristic algorithm applied to a large variety of combinatorial optimization problems. Contrary to evolutionary algorithms ...
UAI
2003
13 years 6 months ago
2003
This paper proposes and evaluates the k-greedy equivalence search algorithm (KES) for learning Bayesian networks (BNs) from complete data. The main characteristic of KES is that i...
NN
2002
Springer
13 years 4 months ago
2002
Springer
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
ML
2006
ACM
13 years 4 months ago
2006
ACM
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...