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» The Measurable Space of Stochastic Processes
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WSC
2007
14 years 5 days ago
Stochastic trust region gradient-free method (strong): a new response-surface-based algorithm in simulation optimization
Response Surface Methodology (RSM) is a metamodelbased optimization method. Its strategy is to explore small subregions of the parameter space in succession instead of attempting ...
Kuo-Hao Chang, L. Jeff Hong, Hong Wan
AAAI
1997
13 years 11 months ago
Model Minimization in Markov Decision Processes
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
Thomas Dean, Robert Givan
ENTCS
2007
140views more  ENTCS 2007»
13 years 9 months ago
Admissible Representations of Probability Measures
In a recent paper, probabilistic processes are used to generate Borel probability measures on topological spaces X that are equipped with a representation in the sense of Type-2 T...
Matthias Schröder
TSMC
1998
78views more  TSMC 1998»
13 years 9 months ago
Automata learning and intelligent tertiary searching for stochastic point location
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
B. John Oommen, Govindachari Raghunath
ICIP
2002
IEEE
14 years 11 months ago
Content-based image retrieval using stochastic paintbrush transformation
Herein, we propose a new content based image retrieval method. The novelty of our approach lies in the applied image similarity measure : Unlike traditional features like color, t...
Zoltan Kato, Xiaowen Ji, Tamas Sziranyi, Zoltan To...