Sciweavers

591 search results - page 64 / 119
» Extremal Optimization: Methods derived from Co-Evolution
Sort
View
JMLR
2008
83views more  JMLR 2008»
13 years 8 months ago
Evidence Contrary to the Statistical View of Boosting
The statistical perspective on boosting algorithms focuses on optimization, drawing parallels with maximum likelihood estimation for logistic regression. In this paper we present ...
David Mease, Abraham Wyner
CVPR
2006
IEEE
14 years 10 months ago
A Closed Form Solution to Natural Image Matting
Interactive digital matting, the process of extracting a foreground object from an image based on limited user input, is an important task in image and video editing. From a compu...
Anat Levin, Dani Lischinski, Yair Weiss
EOR
2006
135views more  EOR 2006»
13 years 8 months ago
Principles of scatter search
Scatter search is an evolutionary method that has been successfully applied to hard optimization problems. The fundamental concepts and principles of the method were first propose...
Rafael Martí, Manuel Laguna, Fred Glover
NIPS
2003
13 years 10 months ago
Laplace Propagation
We present a novel method for approximate inference in Bayesian models and regularized risk functionals. It is based on the propagation of mean and variance derived from the Lapla...
Alexander J. Smola, Vishy Vishwanathan, Eleazar Es...
GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
14 years 3 months ago
Swarming to rank for information retrieval
This paper presents an approach to automatically optimize the retrieval quality of ranking functions. Taking a Swarm Intelligence perspective, we present a novel method, SwarmRank...
Ernesto Diaz-Aviles, Wolfgang Nejdl, Lars Schmidt-...