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ATAL
2006
Springer
15 years 7 months ago
Solving POMDPs using quadratically constrained linear programs
Developing scalable algorithms for solving partially observable Markov decision processes (POMDPs) is an important challenge. One promising approach is based on representing POMDP...
Christopher Amato, Daniel S. Bernstein, Shlomo Zil...
JSCIC
2006
81views more  JSCIC 2006»
15 years 3 months ago
An Improvement of a Recent Eulerian Method for Solving PDEs on General Geometries
We improve upon a method introduced in (Bertalmio et. al. JCP 2001) for solving evolution PDEs on codimension-one surfaces in RN. As in the original method, by representing the su...
John B. Greer
124
Voted
ICML
2008
IEEE
16 years 4 months ago
Efficiently solving convex relaxations for MAP estimation
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
M. Pawan Kumar, Philip H. S. Torr
GECCO
2004
Springer
104views Optimization» more  GECCO 2004»
15 years 8 months ago
Simultaneity Matrix for Solving Hierarchically Decomposable Functions
The simultaneity matrix is an × matrix of numbers. It is constructed according to a set of -bit solutions. The matrix element mij is the degree of linkage between bit positions i ...
Chatchawit Aporntewan, Prabhas Chongstitvatana
CP
2003
Springer
15 years 8 months ago
A Synthesis of Constraint Satisfaction and Constraint Solving
Abstract. This paper offers a critique of the framework of Constraint Satisfaction Problems. While this framework has been successful in studying search techniques, and has inspire...
Michael J. Maher