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JCST
2008
138views more  JCST 2008»
15 years 6 months ago
Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...
Xu Sun, Houfeng Wang, Bo Wang 0003
AAAI
2004
15 years 7 months ago
Solving Generalized Semi-Markov Decision Processes Using Continuous Phase-Type Distributions
We introduce the generalized semi-Markov decision process (GSMDP) as an extension of continuous-time MDPs and semi-Markov decision processes (SMDPs) for modeling stochastic decisi...
Håkan L. S. Younes, Reid G. Simmons
JAMDS
2000
61views more  JAMDS 2000»
15 years 5 months ago
A coupling technique for stochastic comparison of functions of Markov Processes
The aim of this work is to obtain explicit conditions (i.e., conditions on the transition rates) for the stochastic comparison of Markov Processes. A general coupling technique is ...
M. Doisy
CORR
2010
Springer
127views Education» more  CORR 2010»
15 years 6 months ago
Mean field for Markov Decision Processes: from Discrete to Continuous Optimization
We study the convergence of Markov Decision Processes made of a large number of objects to optimization problems on ordinary differential equations (ODE). We show that the optimal...
Nicolas Gast, Bruno Gaujal, Jean-Yves Le Boudec
HYBRID
2005
Springer
15 years 11 months ago
Bisimulation for Communicating Piecewise Deterministic Markov Processes (CPDPs)
Abstract. CPDPs (Communicating Piecewise Deterministic Markov Processes) can be used for compositional specification of systems from the class of stochastic hybrid processes forme...
Stefan Strubbe, A. J. van der Schaft