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JMLR
2012
13 years 7 months ago
Random Search for Hyper-Parameter Optimization
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
James Bergstra, Yoshua Bengio
169
Voted
VALUETOOLS
2006
ACM
167views Hardware» more  VALUETOOLS 2006»
15 years 11 months ago
Detailed cache simulation for detecting bottleneck, miss reason and optimization potentialities
Cache locality optimization is an efficient way for reducing the idle time of modern processors in waiting for needed data. This kind of optimization can be achieved either on the...
Jie Tao, Wolfgang Karl
148
Voted
LATIN
2004
Springer
15 years 10 months ago
Cost-Optimal Trees for Ray Shooting
Predicting and optimizing the performance of ray shooting is a very important problem in computer graphics due to the severe computational demands of ray tracing and other applicat...
Hervé Brönnimann, Marc Glisse
DLOG
2000
15 years 6 months ago
Adapting Optimization Techniques to Description Logics with Concrete Domains
In this paper, we demonstrate that the main standard optimization techniques dependency directed backtracking and model merging can be adapted to description logics with concrete ...
Anni-Yasmin Turhan, Volker Haarslev
QRE
2008
140views more  QRE 2008»
15 years 4 months ago
Discrete mixtures of kernels for Kriging-based optimization
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
David Ginsbourger, Céline Helbert, Laurent ...