Results 1  10
of
1,119
designs to a priori discretization schemes
, 2003
"... A study on sensitivity of spatial sampling ..."
OPTIMAL CONTROL IN NONCONVEX DOMAINS: A PRIORI DISCRETIZATION ERROR ESTIMATES
"... Abstract. An optimal control problem for a 2d elliptic equation is investigated with pointwise control constraints. The domain is assumed to be polygonal but nonconvex. The corner singularities are treated by a priori mesh grading. Approximations of the optimal solution of the continuous optimal c ..."
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Cited by 7 (1 self)
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Abstract. An optimal control problem for a 2d elliptic equation is investigated with pointwise control constraints. The domain is assumed to be polygonal but nonconvex. The corner singularities are treated by a priori mesh grading. Approximations of the optimal solution of the continuous optimal
Hierarchical Dirichlet processes.
 Journal of the American Statistical Association,
, 2006
"... We consider problems involving groups of data where each observation within a group is a draw from a mixture model and where it is desirable to share mixture components between groups. We assume that the number of mixture components is unknown a priori and is to be inferred from the data. In this s ..."
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Cited by 942 (78 self)
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We consider problems involving groups of data where each observation within a group is a draw from a mixture model and where it is desirable to share mixture components between groups. We assume that the number of mixture components is unknown a priori and is to be inferred from the data
Recognition of visual activities and interactions by stochastic parsing
 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
, 2000
"... This paper describes a probabilistic syntactic approach to the detection and recognition of temporally extended activities and interactions between multiple agents. The fundamental idea is to divide the recognition problem into two levels. The lower level detections are performed using standard inde ..."
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Cited by 322 (8 self)
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level detections, and allow the inclusion of a priori knowledge about the structure of temporal events in a given domain. To achieve such a system we: 1) provide techniques for generating a discrete symbol stream from continuous lowlevel detectors; 2) extend stochastic contextfree parsing to handle uncertainty
Reinforcement Learning In Continuous Time and Space
 Neural Computation
, 2000
"... This paper presents a reinforcement learning framework for continuoustime dynamical systems without a priori discretization of time, state, and action. Based on the HamiltonJacobiBellman (HJB) equation for infinitehorizon, discounted reward problems, we derive algorithms for estimating value f ..."
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Cited by 176 (7 self)
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This paper presents a reinforcement learning framework for continuoustime dynamical systems without a priori discretization of time, state, and action. Based on the HamiltonJacobiBellman (HJB) equation for infinitehorizon, discounted reward problems, we derive algorithms for estimating value
On apriori error analysis of fully discrete heterogeneous multiscale FEM
, 2004
"... Abstract. Heterogeneous multiscale methods have been introduced by E and Engquist [Commun. Math. Sci., 1 (2003), pp. 87–132] as a methodology for the numerical computation of problems with multiple scales. Analyses of the methods for various homogenization problems have been done by several authors ..."
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Cited by 38 (20 self)
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on the macroscale by discretizing the fine scale. We give in this paper H1 and L2 a priori estimates of the fully discrete heterogeneous multiscale finite element method. Numerical experiments confirm that the obtained a priori estimates are sharp.
Adaptive Finite Element Methods For Parabolic Problems. VI. Analytic Semigroups
 SIAM J. Numer. Anal
, 1998
"... . We continue our work on adaptive finite element methods with a study of time discretization of analytic semigroups. We prove optimal a priori and a posteriori error estimates for the discontinuous Galerkin method showing, in particular, that analytic semigroups allow longtime integration without ..."
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Cited by 215 (3 self)
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. We continue our work on adaptive finite element methods with a study of time discretization of analytic semigroups. We prove optimal a priori and a posteriori error estimates for the discontinuous Galerkin method showing, in particular, that analytic semigroups allow longtime integration without
Feasibility and Convergence Analysis of DiscreteTime A Priori Filters
"... Abstract The performance and convergence analysis of discretetime H~o a priori filters is addressed in this paper. We deal with a more general term of Riccati equations arising from standard discretetime H~ a priori filters than the existing results ([1]). A sufficient condition for feasibility an ..."
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Abstract The performance and convergence analysis of discretetime H~o a priori filters is addressed in this paper. We deal with a more general term of Riccati equations arising from standard discretetime H~ a priori filters than the existing results ([1]). A sufficient condition for feasibility
An a priori Indicator of the Discrimination Power of Discrete Hidden Markov Models
, 2001
"... During the development of a hidden Markov modelbased handwriting recognition system, the testing phase takes a nonnegligible amount of computation time. This is especially true for real application where the lexicon size is large. In order to shorten the development process we propose an indicator ..."
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Cited by 1 (0 self)
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During the development of a hidden Markov modelbased handwriting recognition system, the testing phase takes a nonnegligible amount of computation time. This is especially true for real application where the lexicon size is large. In order to shorten the development process we propose an indicator of the system discrimination power. This indicator is calculated during training and its final value is obtained at the end of the training phase, without more calculation. Its definition consists of a modification of the observation probability of the validation corpus by the trained system. Some experiments were carried out and the results show clearly the correlation between this indicator and recognition rates.
A Priori Analysis for the SemiDiscrete Approximation to the Nonlinear Damped Wave Equation
, 2000
"... We study the secondorder nonlinear damped wave equation semidiscretised in space using standard Galerkin finite element methods. Denoting the analytical solution and the corresponding nite element solution to the given problem by u and u h respectively, we derive an optimal L 2) error estimate of ..."
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We study the secondorder nonlinear damped wave equation semidiscretised in space using standard Galerkin finite element methods. Denoting the analytical solution and the corresponding nite element solution to the given problem by u and u h respectively, we derive an optimal L 2) error estimate of the form max t2[0;T] ku (t) u h (t)k C (u)h
Results 1  10
of
1,119