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» On Generalizing Pawlak Approximation Operators
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FOCS
2008
IEEE
14 years 3 months ago
Degree Bounded Network Design with Metric Costs
Given a complete undirected graph, a cost function on edges and a degree bound B, the degree bounded network design problem is to find a minimum cost simple subgraph with maximum...
Yuk Hei Chan, Wai Shing Fung, Lap Chi Lau, Chun Ko...
ICIP
1997
IEEE
14 years 10 months ago
A Differential Code for Shape Representation in Image Database Applications
A new method termed the vertex representation is presented for approximating the shapes of objects of arbitrary dimensionality d (e.g., 20, 30, etc.) with orthogonal (d - 1)-dimen...
Claudio Esperança, Hanan Samet
ECML
2006
Springer
14 years 8 days ago
Prioritizing Point-Based POMDP Solvers
Recent scaling up of POMDP solvers towards realistic applications is largely due to point-based methods such as PBVI, Perseus, and HSVI, which quickly converge to an approximate so...
Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
14 years 2 months ago
Morphing methods in evolutionary design optimization
Design optimization is a well established application field of evolutionary computation. However, standard recombination operators acting on the genotypic representation of the d...
Michael Nashvili, Markus Olhofer, Bernhard Sendhof...
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
14 years 1 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn