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IWANN
2007
Springer
16 years 1 months ago
Multiple Instance Learning with Genetic Programming for Web Mining
Abstract. The aim of this paper is to present a new tool of multiple instance learning which is designed using a grammar based genetic programming (GGP) algorithm. We study its app...
Amelia Zafra, Sebastián Ventura, Enrique He...
IJCNN
2006
IEEE
16 years 1 months ago
Learning to Rank by Maximizing AUC with Linear Programming
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...
Kaan Ataman, W. Nick Street, Yi Zhang
CEC
2005
IEEE
16 years 1 months ago
Genetic programming approach for fault modeling of electronic hardware
This paper presents two variants of Genetic Programming (GP) approaches for intelligent online performance monitoring of electronic circuits and systems. Reliability modeling of el...
Ajith Abraham, Crina Grosan
OL
2011
177views Neural Networks» more  OL 2011»
14 years 10 months ago
Exploiting vector space properties to strengthen the relaxation of bilinear programs arising in the global optimization of proce
In this paper we present a methodology for finding tight convex relaxations for a special set of quadratic constraints given by bilinear and linear terms that frequently arise in ...
Juan P. Ruiz, Ignacio E. Grossmann
207
Voted
GECCO
2009
Springer
150views Optimization» more  GECCO 2009»
16 years 2 months ago
Discrete dynamical genetic programming in XCS
A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...
Richard Preen, Larry Bull