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» Discrete state estimators for systems on a lattice
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COMPLEXITY
2006
144views more  COMPLEXITY 2006»
13 years 7 months ago
BML revisited: Statistical physics, computer simulation, and probability
Statistical physics, computer simulation and discrete mathematics are intimately related through the study of shared lattice models. These models lie at the foundation of all thre...
Raissa M. D'Souza
SIMULATION
2011
13 years 2 months ago
The Activity-tracking paradigm in discrete-event modeling and simulation: The case of spatially continuous distributed systems
From a modelling and simulation perspective, studying dynamic systems consists of focusing on changes in states. According to the precision of state changes, generic algorithms ca...
Alexandre Muzy, Rajanikanth Jammalamadaka, Bernard...
JMLR
2006
124views more  JMLR 2006»
13 years 7 months ago
Policy Gradient in Continuous Time
Policy search is a method for approximately solving an optimal control problem by performing a parametric optimization search in a given class of parameterized policies. In order ...
Rémi Munos
SIAMSC
2010
132views more  SIAMSC 2010»
13 years 6 months ago
A Posteriori Error Estimates Including Algebraic Error and Stopping Criteria for Iterative Solvers
For the finite volume discretization of a second-order elliptic model problem, we derive a posteriori error estimates which take into account an inexact solution of the associated...
Pavel Jiránek, Zdenek Strakos, Martin Vohra...
CVPR
2007
IEEE
14 years 9 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic