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GECCO
2004
Springer
142views Optimization» more  GECCO 2004»
14 years 1 months ago
Improving MACS Thanks to a Comparison with 2TBNs
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
Olivier Sigaud, Thierry Gourdin, Pierre-Henri Wuil...
ALGORITHMICA
2010
107views more  ALGORITHMICA 2010»
13 years 8 months ago
A Universal Online Caching Algorithm Based on Pattern Matching
We present a universal algorithm for the classical online problem of caching or demand paging. We consider the caching problem when the page request sequence is drawn from an unkn...
Gopal Pandurangan, Wojciech Szpankowski
SPAA
1994
ACM
14 years 19 days ago
Bounds on the Greedy Routing Algorithm for Array Networks
We analyze the performance of greedy routing for array networks by providing bounds on the average delay and the average number of packets in the system for the dynamic routing pr...
Michael Mitzenmacher
CVPR
2010
IEEE
13 years 11 months ago
Ray Markov Random Fields for Image-Based 3D Modeling: Model and Efficient Inference
In this paper, we present an approach to multi-view image-based 3D reconstruction by statistically inversing the ray-tracing based image generation process. The proposed algorithm...
Shubao Liu, David Cooper
ECAI
2008
Springer
13 years 10 months ago
Structure Learning of Markov Logic Networks through Iterated Local Search
Many real-world applications of AI require both probability and first-order logic to deal with uncertainty and structural complexity. Logical AI has focused mainly on handling com...
Marenglen Biba, Stefano Ferilli, Floriana Esposito