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APIN
2008
102views more  APIN 2008»
15 years 4 months ago
Approximation-based feature selection and application for algae population estimation
This paper presents a data-driven approach for feature selection to address the common problem of dealing with high-dimensional data. This approach is able to handle the real-valu...
Qiang Shen, Richard Jensen
ESWA
2006
154views more  ESWA 2006»
15 years 4 months ago
Artificial neural networks with evolutionary instance selection for financial forecasting
In this paper, I propose a genetic algorithm (GA) approach to instance selection in artificial neural networks (ANNs) for financial data mining. ANN has preeminent learning abilit...
Kyoung-jae Kim
JMLR
2006
99views more  JMLR 2006»
15 years 4 months ago
Worst-Case Analysis of Selective Sampling for Linear Classification
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
EOR
2007
85views more  EOR 2007»
15 years 4 months ago
Reject inference, augmentation, and sample selection
Many researchers see the need for reject inference in credit scoring models to come from a sample selection problem whereby a missing variable results in omitted variable bias. Al...
John Banasik, Jonathan Crook
NAR
2007
115views more  NAR 2007»
15 years 4 months ago
PReMod: a database of genome-wide mammalian cis-regulatory module predictions
We describe PReMod, a new database of genomewide cis-regulatory module (CRM) predictions for both the human and the mouse genomes. The prediction algorithm, described previously i...
Vincent Ferretti, Christian Poitras, Dominique Ber...