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ML
2002
ACM
146views Machine Learning» more  ML 2002»
13 years 7 months ago
Variable Resolution Discretization in Optimal Control
Abstract. The problemof state abstractionis of centralimportancein optimalcontrol,reinforcement learning and Markov decision processes. This paper studies the case of variable reso...
Rémi Munos, Andrew W. Moore
WSC
2000
13 years 9 months ago
Input modeling using a computer algebra system
Input modeling that involves fitting standard univariate parametric probability distributions is typically performed using an input modeling package. These packages typically fit ...
Diane L. Evans, Lawrence Leemis
HICSS
2005
IEEE
147views Biometrics» more  HICSS 2005»
14 years 1 months ago
Branching Process Models for the Exponentially Increasing Portions of Cascading Failure Blackouts
We introduce branching process models in discrete and continuous time for the exponentially increasing phase of cascading blackouts. Cumulative line trips from real blackout data ...
Ian Dobson, Benjamin A. Carreras, David E. Newman
ANSS
2006
IEEE
14 years 1 months ago
iSimBioSys: A Discrete Event Simulation Platform for 'in silico' study of biological systems
With the availability of huge databases cataloguing the various molecular “parts” of complex biological systems, researchers from multiple disciplines have focused on developi...
Samik Ghosh, Preetam Ghosh, Kalyan Basu, Sajal K. ...
ICANNGA
2009
Springer
145views Algorithms» more  ICANNGA 2009»
14 years 2 months ago
Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators
We propose a generalized model with configurable discretizer actuators as a solution to the problem of the discretization of massive numerical datasets. Our solution is based on a ...
Isaac Olusegun Osunmakinde, Antoine B. Bagula