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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...
IPL
2008
146views more  IPL 2008»
15 years 6 months ago
A running time analysis of an Ant Colony Optimization algorithm for shortest paths in directed acyclic graphs
In this paper, we prove polynomial running time bounds for an Ant Colony Optimization (ACO) algorithm for the single-destination shortest path problem on directed acyclic graphs. ...
Nattapat Attiratanasunthron, Jittat Fakcharoenphol
IPMI
2007
Springer
16 years 29 days ago
Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm
Abstract. We propose a novel algorithm called graph-shifts for performing image segmentation and labeling. This algorithm makes use of a dynamic hierarchical representation of the ...
Jason J. Corso, Zhuowen Tu, Alan L. Yuille, Arthur...
TOMACS
2010
79views more  TOMACS 2010»
15 years 1 months ago
A stochastic approximation method with max-norm projections and its applications to the Q-learning algorithm
In this paper, we develop a stochastic approximation method to solve a monotone estimation problem and use this method to enhance the empirical performance of the Q-learning algor...
Sumit Kunnumkal, Huseyin Topaloglu
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CEC
2005
IEEE
16 years 13 days ago
Constraint quadratic approximation operator for treating equality constraints with genetic algorithms
Abstract- This paper presents a new operator for genetic algorithms that enhances their convergence in the case of nonlinear problems with nonlinear equality constraints. The propo...
Elizabeth F. Wanner, Frederico G. Guimarães...