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GECCO
2003
Springer
117views Optimization» more  GECCO 2003»
16 years 1 days ago
A Method for Handling Numerical Attributes in GA-Based Inductive Concept Learners
This paper proposes a method for dealing with numerical attributes in inductive concept learning systems based on genetic algorithms. The method uses constraints for restricting th...
Federico Divina, Maarten Keijzer, Elena Marchiori
IJCNN
2000
IEEE
15 years 11 months ago
Support Vector Machine for Regression and Applications to Financial Forecasting
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...
Theodore B. Trafalis, Huseyin Ince
IUI
1997
ACM
15 years 11 months ago
Inductive Task Modeling for User Interface Customization
This paper describes ActionStreams, a system for inducing task models from observations of user activity. The model can represent several task structures: hierarchy, variable sequ...
David Maulsby
NLP
2000
15 years 10 months ago
Enhancing Preference-Based Anaphora Resolution with Genetic Algorithms
Abstract. The paper argues that a promising way to improve the success rate of preference-based anaphora resolution algorithms is the use of machine learning. The paper outlines MA...
Constantin Orasan, Richard Evans, Ruslan Mitkov
APPINF
2003
15 years 8 months ago
A Method for Teaching a Software Process based on the Personal Software Process
The paper presents a method in teaching software process at under-graduate level, based on the Personal Software Process (PSP). The goal is to inform students about the process an...
Zeljka Car