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PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
13 years 11 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
EWC
2010
91views more  EWC 2010»
13 years 3 months ago
Multiobjective global surrogate modeling, dealing with the 5-percent problem
When dealing with computationally expensive simulation codes or process measurement data, surrogate modeling methods are firmly established as facilitators for design space explor...
Dirk Gorissen, Ivo Couckuyt, Eric Laermans, Tom Dh...
TSD
2009
Springer
13 years 9 months ago
Objective vs. Subjective Evaluation of Speakers with and without Complete Dentures
Abstract. For dento-oral rehabilitation of edentulous (toothless) patients, speech intelligibility is an important criterion. 28 persons read a standardized text once with and once...
Tino Haderlein, Tobias Bocklet, Andreas Maier, Elm...
SSD
2009
Springer
124views Database» more  SSD 2009»
13 years 11 months ago
ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series
ELKI is a unied software framework, designed as a tool suitable for evaluation of dierent algorithms on high dimensional realvalued feature-vectors. A special case of high dimens...
Elke Achtert, Thomas Bernecker, Hans-Peter Kriegel...
PAM
2004
Springer
13 years 10 months ago
Measurement Approaches to Evaluate Performance Optimizations for Wide-Area Wireless Networks
We present measurement approaches to evaluate performance optimizations, employed at different layers of the protocol stack, to enhance application performance over wide-area wire...
Rajiv Chakravorty, Julian Chesterfield, Pablo Rodr...