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VALUETOOLS
2006
ACM
167views Hardware» more  VALUETOOLS 2006»
14 years 4 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
QRE
2008
140views more  QRE 2008»
13 years 9 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 ...
SAGT
2009
Springer
192views Game Theory» more  SAGT 2009»
14 years 4 months ago
Learning and Approximating the Optimal Strategy to Commit To
Computing optimal Stackelberg strategies in general two-player Bayesian games (not to be confused with Stackelberg strategies in routing games) is a topic that has recently been ga...
Joshua Letchford, Vincent Conitzer, Kamesh Munagal...
CORR
2008
Springer
81views Education» more  CORR 2008»
13 years 10 months ago
Optimal Strategies in Perfect-Information Stochastic Games with Tail Winning Conditions
We prove that optimal strategies exist in perfect-information stochastic games with finitely many states and actions and tail winning conditions.
Florian Horn, Hugo Gimbert
ANTSW
2008
Springer
14 years 1 days ago
Adaptive Particle Swarm Optimization
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perfor...
Zhi-hui Zhan, Jun Zhang