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» Robustness of Classifiers to Changing Environments
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GECCO
2007
Springer
141views Optimization» more  GECCO 2007»
14 years 1 months ago
Evolving robust GP solutions for hedge fund stock selection in emerging markets
Abstract Stock selection for hedge fund portfolios is a challenging problem for Genetic Programming (GP) because the markets (the environment in which the GP solution must survive)...
Wei Yan, Christopher D. Clack
ICIP
2010
IEEE
13 years 5 months ago
Histogram of confidences for person detection
This paper focuses on the problem of person detection in harsh industrial environments. Different image regions often have different requirements for the person to be detected. Ad...
Lee Middleton, James R. Snowdon
ECAI
2010
Springer
13 years 5 months ago
Describing the Result of a Classifier to the End-User: Geometric-based Sensitivity
This paper addresses the issue of supporting the end-user of a classifier, when it is used as a decision support system, to classify new cases. We consider several kinds of classif...
Isabelle Alvarez, Sophie Martin, Salma Mesmoudi
ICB
2009
Springer
170views Biometrics» more  ICB 2009»
14 years 10 days ago
Face Gender Classification on Consumer Images in a Multiethnic Environment
Abstract. In this paper, we target at face gender classification on consumer images in a multiethnic environment. The consumer images are much more challenging, since the faces cap...
Wei Gao, Haizhou Ai
GCB
2010
Springer
204views Biometrics» more  GCB 2010»
13 years 5 months ago
Learning Pathway-based Decision Rules to Classify Microarray Cancer Samples
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasn...