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GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
14 years 27 days ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint
TREC
2001
13 years 8 months ago
Machine Learning Approach for Homepage Finding Task
This paper describes new machine learning approaches to predict the correct homepage in response to a user's homepage finding query. This involves two phases. In the first ph...
Wensi Xi, Edward A. Fox
FLAIRS
2007
13 years 9 months ago
An Argumentation Based Approach to Multi-Agent Learning
This paper addresses the issue of learning from communication among agents that work in the same domain, are capable of learning from examples, and communicate using an argumentat...
Santiago Ontañón, Enric Plaza
ICDAR
2003
IEEE
14 years 20 days ago
Image Segmentation By Learning Approach
This article describes a new segmentation by thresholding approach based on learning. The method consists in learning to threshold correctly submitting both an image and its ideal...
Horacio Andrés Legal-Ayala, Jacques Facon
AAAI
1994
13 years 8 months ago
Small is Beautiful: A Brute-Force Approach to Learning First-Order Formulas
We describe a method for learning formulas in firstorder logic using a brute-force, smallest-first search. The method is exceedingly simple. It generates all irreducible well-form...
Steven Minton, Ian Underwood