174 search results - page 7 / 35 » Advances in Instance Selection for Instance-Based Learning A... |
ESWA
2006
14 years 9 months ago
2006
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...
111
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HAIS
2010
Springer
14 years 7 months ago
2010
Springer
In this article, we describe a feature selection algorithm which can automatically find relevant features for multiple instance learning. Multiple instance learning is considered a...
CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Multiple instance (MI) learning is a recent learning paradigm that is more flexible than standard supervised learning algorithms in the handling of label ambiguity. It has been u...
ECAI
2004
Springer
15 years 2 months ago
2004
Springer
The purpose of this paper is to show that a well known machine learning technique based on Decision Trees can be effectively used to select the best approach (in terms of efficien...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...