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CVPR
2010
IEEE
16 years 1 months ago
Comparative object similarity for improved recognition with few or no examples
Learning models for recognizing objects with few or no training examples is important, due to the intrinsic longtailed distribution of objects in the real world. In this paper, we...
Gang Wang, David Forsyth, Derek Hoiem
EUROGP
2009
Springer
130views Optimization» more  EUROGP 2009»
15 years 11 months ago
One-Class Genetic Programming
One-class classification naturally only provides one-class of exemplars, the target class, from which to construct the classification model. The one-class approach is constructed...
Robert Curry, Malcolm I. Heywood
CEC
2007
IEEE
15 years 11 months ago
Bayesian inference in estimation of distribution algorithms
— Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimizat...
Marcus Gallagher, Ian Wood, Jonathan M. Keith, Geo...
ICDM
2007
IEEE
184views Data Mining» more  ICDM 2007»
15 years 11 months ago
Bayesian Folding-In with Dirichlet Kernels for PLSI
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
Alexander Hinneburg, Hans-Henning Gabriel, Andr&eg...
ATAL
2007
Springer
15 years 11 months ago
An adaptive strategy for minority games
Many real life situations, like the financial market, auctions and resources competitions, can be modeled as Minority Games. In minority games, players choose to join one of the ...
Ka-man Lam, Ho-fung Leung
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