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STACS
2007
Springer
14 years 4 months ago
Pure Stationary Optimal Strategies in Markov Decision Processes
Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. Performances of an MDP are evaluated by a payoff function. The controller of ...
Hugo Gimbert
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
14 years 3 months ago
Learning, anticipation and time-deception in evolutionary online dynamic optimization
In this paper we focus on an important source of problem– difficulty in (online) dynamic optimization problems that has so far received significantly less attention than the tr...
Peter A. N. Bosman
CRYPTO
2006
Springer
112views Cryptology» more  CRYPTO 2006»
14 years 1 months ago
On Expected Constant-Round Protocols for Byzantine Agreement
In a seminal paper, Feldman and Micali (STOC '88) show an n-party Byzantine agreement protocol tolerating t < n/3 malicious parties that runs in expected constant rounds. H...
Jonathan Katz, Chiu-Yuen Koo
DATAMINE
1998
145views more  DATAMINE 1998»
13 years 9 months ago
A Tutorial on Support Vector Machines for Pattern Recognition
The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-...
Christopher J. C. Burges
CIKM
2005
Springer
14 years 3 months ago
Optimizing cursor movement in holistic twig joins
Holistic twig join algorithms represent the state of the art for evaluating path expressions in XML queries. Using inverted indexes on XML elements, holistic twig joins move a set...
Marcus Fontoura, Vanja Josifovski, Eugene J. Sheki...