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FLAIRS
2004
13 years 8 months ago
Formation of Probabilistic Concepts through Observations Containing Discrete and Continuous Attributes
The probabilistic concept formation general problem in dealing with mixed-data scale environments is due to the use of different evaluation function for each attribute type. We cl...
Ricardo Batista Rebouças, João Jos&e...
ICML
2006
IEEE
14 years 8 months ago
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
Marc Toussaint, Amos J. Storkey
CORR
2010
Springer
127views Education» more  CORR 2010»
13 years 7 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
CPAIOR
2005
Springer
14 years 28 days ago
Mixed Discrete and Continuous Algorithms for Scheduling Airborne Astronomy Observations
We describe the problem of scheduling astronomy observations for the Stratospheric Observatory for Infrared Astronomy, an airborne telescope. The problem requires maximizing the nu...
Jeremy Frank, Elif Kürklü
FSKD
2006
Springer
115views Fuzzy Logic» more  FSKD 2006»
13 years 11 months ago
Improvement of Decision Accuracy Using Discretization of Continuous Attributes
Abstract. The na
Qingxiang Wu, David A. Bell, T. Martin McGinnity, ...