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ICML
2001
IEEE
16 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
ICML
1999
IEEE
16 years 5 months ago
Abstracting from Robot Sensor Data using Hidden Markov Models
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
Laura Firoiu, Paul R. Cohen
SIGSOFT
2003
ACM
16 years 5 months ago
Leveraging field data for impact analysis and regression testing
Software products are often released with missing functionality, errors, or incompatibilities that may result in failures, inferior performances, or user dissatisfaction. In previ...
Alessandro Orso, Taweesup Apiwattanapong, Mary Jea...
WWW
2005
ACM
16 years 5 months ago
Semantic similarity between search engine queries using temporal correlation
We investigate the idea of finding semantically related search engine queries based on their temporal correlation; in other words, we infer that two queries are related if their p...
Steve Chien, Nicole Immorlica
KDD
2006
ACM
157views Data Mining» more  KDD 2006»
16 years 5 months ago
Using structure indices for efficient approximation of network properties
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
Matthew J. Rattigan, Marc Maier, David Jensen