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» Direct Policy Search using Paired Statistical Tests
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ICML
2001
IEEE
14 years 5 months ago
Direct Policy Search using Paired Statistical Tests
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
Malcolm J. A. Strens, Andrew W. Moore
CIKM
2007
Springer
13 years 8 months ago
A comparison of statistical significance tests for information retrieval evaluation
Information retrieval (IR) researchers commonly use three tests of statistical significance: the Student's paired t-test, the Wilcoxon signed rank test, and the sign test. Ot...
Mark D. Smucker, James Allan, Ben Carterette
BMCBI
2008
128views more  BMCBI 2008»
13 years 4 months ago
SIGffRid: A tool to search for sigma factor binding sites in bacterial genomes using comparative approach and biologically drive
Background: Many programs have been developed to identify transcription factor binding sites. However, most of them are not able to infer two-word motifs with variable spacer leng...
Fabrice Touzain, Sophie Schbath, Isabelle Debled-R...
JMLR
2008
108views more  JMLR 2008»
13 years 4 months ago
A Recursive Method for Structural Learning of Directed Acyclic Graphs
In this paper, we propose a recursive method for structural learning of directed acyclic graphs (DAGs), in which a problem of structural learning for a large DAG is first decompos...
Xianchao Xie, Zhi Geng
EVOW
2010
Springer
13 years 11 months ago
A Directed Mutation Operator for Real Coded Genetic Algorithms
Abstract. Developing directed mutation methods has been an interesting research topic to improve the performance of genetic algorithms (GAs) for function optimization. This paper i...
Imtiaz Korejo, Shengxiang Yang, Changhe Li