Sciweavers

4255 search results - page 134 / 851
» On Learning Boolean Functions
Sort
View
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 3 months ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett
ESANN
2007
14 years 11 months ago
Complexity bounds of radial basis functions and multi-objective learning
In the paper, the problem of multi-objective (MOBJ) learning is discussed. The problem of obtaining apparent (effective) complexity measure, which is one of the objectives, is con...
Illya Kokshenev, Antônio de Pádua Bra...
ACL
2006
14 years 11 months ago
Using Machine-Learning to Assign Function Labels to Parser Output for Spanish
Data-driven grammatical function tag assignment has been studied for English using the Penn-II Treebank data. In this paper we address the question of whether such methods can be ...
Grzegorz Chrupala, Josef van Genabith
EUSFLAT
2001
115views Fuzzy Logic» more  EUSFLAT 2001»
14 years 11 months ago
A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions
When a whole knowledge base must be derived for a fuzzy rule-based system, learning methods usually address this task with two or more sequential stages by separately designing ea...
Jorge Casillas, Oscar Cordón, Francisco Her...
ICASSP
2011
IEEE
14 years 1 months ago
Compressed learning of high-dimensional sparse functions
This paper presents a simple randomised algorithm for recovering high-dimensional sparse functions, i.e. functions f : [0, 1]d → R which depend effectively only on k out of d va...
Karin Schnass, Jan Vybíral