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» On the Complexity of Exclusion Algorithms for Optimization
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ATMOS
2007
177views Optimization» more  ATMOS 2007»
15 years 8 months ago
Approximate dynamic programming for rail operations
Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
Warren B. Powell, Belgacem Bouzaïene-Ayari
ATAL
2006
Springer
15 years 10 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
ICASSP
2010
IEEE
15 years 6 months ago
Empirical Type-i filter design for image interpolation
Empirical filter designs generalize relationships inferred from training data to effect realistic solutions that conform well to the human visual system. Complex algorithms invol...
Karl S. Ni, Truong Q. Nguyen
ICIP
2001
IEEE
16 years 8 months ago
Prescient mode selection for robust video coding
In standard predictive video coders, intra-mode coding of macroblocks (MBs) provides packet loss resilience, at the cost of reduced compression efficiency. Conventional mode selec...
Rui Zhang, Shankar L. Regunathan, Kenneth Rose
GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
16 years 22 days ago
Exploring the behavior of building blocks for multi-objective variation operator design using predator-prey dynamics
In this paper, we utilize a predator-prey model in order to identify characteristics of single-objective variation operators in the multi-objective problem domain. In detail, we a...
Christian Grimme, Joachim Lepping, Alexander Papas...