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AAAI
1993
13 years 9 months ago
Complexity Analysis of Real-Time Reinforcement Learning
This paper analyzes the complexity of on-line reinforcement learning algorithms, namely asynchronous realtime versions of Q-learning and value-iteration, applied to the problem of...
Sven Koenig, Reid G. Simmons
AMAST
1997
Springer
13 years 11 months ago
Parametric Analysis of Computer Systems
Abstract. A general parametric analysis problem which allows the use of parameter variables in both the realtime automata and the specifications is proposed and solved. The analys...
Farn Wang, Pao-Ann Hsiung
ML
2006
ACM
142views Machine Learning» more  ML 2006»
13 years 7 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
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...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
EDBT
2006
ACM
103views Database» more  EDBT 2006»
14 years 7 months ago
Finding Equivalent Rewritings in the Presence of Arithmetic Comparisons
The problem of rewriting queries using views has received significant attention because of its applications in a wide variety of datamanagement problems. For select-project-join SQ...
Foto N. Afrati, Rada Chirkova, Manolis Gergatsouli...
BMCBI
2008
123views more  BMCBI 2008»
13 years 7 months ago
Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach
Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
Firoz Anwar, Syed Murtuza Baker, Taskeed Jabid, Md...