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PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
13 years 5 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
ENVSOFT
2007
88views more  ENVSOFT 2007»
13 years 7 months ago
Resampling-based software for estimating optimal sample size
The SISSI program implements a novel approach for the estimation of the optimal sample size in experimental data collection. It provides avisual evaluation system of sample size d...
Roberto Confalonieri, Marco Acutis, Gianni Bellocc...
SIAMJO
2008
72views more  SIAMJO 2008»
13 years 7 months ago
A Sample Approximation Approach for Optimization with Probabilistic Constraints
We study approximations of optimization problems with probabilistic constraints in which the original distribution of the underlying random vector is replaced with an empirical dis...
James Luedtke, Shabbir Ahmed
WSC
1998
13 years 8 months ago
LABATCH.2: Software for Statistical Analysis of Simulation Sample Path Data
LABATCH.2 is a collection of computer programs available in C, FORTRAN, and SIMSCRIPT II.5 by anonymous ftp, at http://www.or.unc.edu/gfish/labatch.2.html. It performs statistical...
George S. Fishman
ICALP
2004
Springer
14 years 26 days ago
Sublinear-Time Approximation for Clustering Via Random Sampling
Abstract. In this paper we present a novel analysis of a random sampling approach for three clustering problems in metric spaces: k-median, min-sum kclustering, and balanced k-medi...
Artur Czumaj, Christian Sohler