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ICML
2002
IEEE
16 years 5 months ago
Discovering Hierarchy in Reinforcement Learning with HEXQ
An open problem in reinforcement learning is discovering hierarchical structure. HEXQ, an algorithm which automatically attempts to decompose and solve a model-free factored MDP h...
Bernhard Hengst
ISPDC
2005
IEEE
15 years 10 months ago
New Challenges in Parallel Optimization
: Optimization is a healthy field targeted to find efficient solutions and algorithms to solve problems either in the academia and the industry. As the solved problems became harde...
Enrique Alba
143
Voted
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 8 months ago
String transformation-based Bayesian classification or proteins
We describe a Markov chain Bayesian classification tool, SCS, that can perform data-driven classification of proteins and protein segments. Training data for interesting classific...
Timothy Meekhof, Gary W. Daughdrill, Robert B. Hec...
AAAI
2006
15 years 6 months ago
Extending Dynamic Backtracking to Solve Weighted Conditional CSPs
Many planning and design problems can be characterized as optimal search over a constrained network of conditional choices with preferences. To draw upon the advanced methods of c...
Robert T. Effinger, Brian C. Williams
ICASSP
2011
IEEE
14 years 8 months ago
An adaptive bayesian clustering and multivariate region merging based technique for efficient segmentation of color images
We propose a methodology for improved segmentation of images in a Bayesian framework by fusion of color, texture and gradient information. The proposed algorithm is initialized by...
Sreenath Rao Vantaram, Eli Saber