143 search results - page 14 / 29 » Sampling Strategies to Evaluate the Performance of Unknown P... |
GECCO
2010
Springer
14 years 13 days ago
2010
Springer
The well-known Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD ....
ICSE
2010
IEEE-ACM
14 years 13 days ago
2010
IEEE-ACM
Statistical debugging uses lightweight instrumentation and statistical models to identify program behaviors that are strongly predictive of failure. However, most software is most...
MCS
2009
Springer
14 years 6 days ago
2009
Springer
The meta-learner MLR (Multi-response Linear Regression) has been proposed as a trainable combiner for fusing heterogeneous baselevel classifiers. Although it has interesting prope...
AVBPA
2001
Springer
14 years 5 days ago
2001
Springer
: We consider the matching function in vector quantization based speaker identification system. The model of a speaker is a codebook generated from the set of feature vectors from ...
NIPS
2008
13 years 9 months ago
2008
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...