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APBC
2007
15 years 8 months ago
A Probabilistic Method to Identify Compensatory Substitutions for Pathogenic Mutations
real or abstract. It provides a widely applicable approach to the prediction of compensatory substitutions for CPDs, avoiding any reliance on rigid non-probabilistic criteria or st...
B. C. Easton, A. V. Isaev, Gavin A. Huttley, Peter...
IJCAI
2007
15 years 8 months ago
Probabilistic Consistency Boosts MAC and SAC
Constraint Satisfaction Problems (CSPs) are ubiquitous in Artificial Intelligence. The backtrack algorithms that maintain some local consistency during search have become the de ...
Deepak Mehta, Marc R. C. van Dongen
MVA
2000
166views Computer Vision» more  MVA 2000»
15 years 7 months ago
Motion Segmentation and Tracking by Embedding Global Model Within a Contextual Relaxation Scheme
IAPR Workshop on Machine Vision and Applications, pp. 455-458, 2000, Tokyo, Japan In this paper, we integrate the model-based tracking and local contexture (temporal and spatial) ...
Yunqiang Chen, Thomas S. Huang
NIPS
2007
15 years 8 months ago
Boosting Algorithms for Maximizing the Soft Margin
We present a novel boosting algorithm, called SoftBoost, designed for sets of binary labeled examples that are not necessarily separable by convex combinations of base hypotheses....
Manfred K. Warmuth, Karen A. Glocer, Gunnar Rä...
SARA
2007
Springer
16 years 17 days ago
DFS-Tree Based Heuristic Search
Abstract. In constraint satisfaction, local search is an incomplete method for finding a solution to a problem. Solving a general constraint satisfaction problem (CSP) is known to...
Montserrat Abril, Miguel A. Salido, Federico Barbe...