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JMLR
2006
105views more  JMLR 2006»
15 years 6 months ago
Some Theory for Generalized Boosting Algorithms
We give a review of various aspects of boosting, clarifying the issues through a few simple results, and relate our work and that of others to the minimax paradigm of statistics. ...
Peter J. Bickel, Yaacov Ritov, Alon Zakai
346
Voted
ISMM
2011
Springer
14 years 9 months ago
Incremental Algorithm for Hierarchical Minimum Spanning Forests and Saliency of Watershed Cuts
We study hierarchical segmentations that are optimal in the sense of minimal spanning forests of the original image. We introduce a region-merging operation called uprooting, and w...
Jean Cousty, Laurent Najman
CEC
2007
IEEE
16 years 1 months ago
Towards a generic control strategy for Evolutionary Algorithms: an adaptive fuzzy-learning approach
— This paper presents a new method to generalize strategies in order to control parameters of Evolutionary Algorithms (EAs). A learning process establishes the relationship betwe...
Jorge Maturana, Frédéric Saubion
GECCO
2003
Springer
106views Optimization» more  GECCO 2003»
16 years 1 days ago
Taming a Flood with a T-CUP - Designing Flood-Control Structures with a Genetic Algorithm
This paper describes the use of a genetic algorithm to solve a hydrology design problem - determining an optimal or near-optimal prescription of Best Management Practices in a flo...
Jeff Wallace, Sushil J. Louis
GECCO
1999
Springer
116views Optimization» more  GECCO 1999»
15 years 11 months ago
Dynamic Degree Constrained Network Design: A Genetic Algorithm Approach
The design and development of network infrastructure to support mission-critical operations has become a critical and complicated issue. In this study we explore the use of geneti...
Chao-Hsien Chu, G. Premkumar, Carey Chou, Jianzhon...