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IJCAI
2001
13 years 11 months ago
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
Ronen I. Brafman, Moshe Tennenholtz
FLAIRS
2003
13 years 11 months ago
Incremental Breakout Algorithm with Variable Ordering
This paper presents the Incremental Breakout Algorithm with Variable Ordering (IncBA). This algorithm belongs to the class of local search algorithms for solving Constraint Satisf...
Carlos Eisenberg, Boi Faltings
CPM
2001
Springer
111views Combinatorics» more  CPM 2001»
14 years 2 months ago
Multiple Pattern Matching Algorithms on Collage System
Abstract. Compressed pattern matching is one of the most active topics in string matching. The goal is to find all occurrences of a pattern in a compressed text without decompress...
Takuya Kida, Tetsuya Matsumoto, Masayuki Takeda, A...
COCOON
2005
Springer
14 years 3 months ago
A Quadratic Lower Bound for Rocchio's Similarity-Based Relevance Feedback Algorithm
Rocchio’s similarity-based relevance feedback algorithm, one of the most important query reformation methods in information retrieval, is essentially an adaptive supervised lear...
Zhixiang Chen, Bin Fu
IJAR
2007
130views more  IJAR 2007»
13 years 10 months ago
Bayesian network learning algorithms using structural restrictions
The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
Luis M. de Campos, Javier Gomez Castellano