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» Learning Approaches to Wrapper Induction
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ML
2010
ACM
151views Machine Learning» more  ML 2010»
14 years 10 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
COGSR
2011
105views more  COGSR 2011»
14 years 6 months ago
Inductive rule learning on the knowledge level
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Ute Schmid, Emanuel Kitzelmann
GECCO
2004
Springer
144views Optimization» more  GECCO 2004»
15 years 5 months ago
Feature Subset Selection, Class Separability, and Genetic Algorithms
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
Erick Cantú-Paz
72
Voted
ILP
1998
Springer
15 years 4 months ago
Strongly Typed Inductive Concept Learning
In this paper we argue that the use of a language with a type system, together with higher-order facilities and functions, provides a suitable basis for knowledge representation in...
Peter A. Flach, Christophe G. Giraud-Carrier, John...
ILP
2000
Springer
15 years 3 months ago
Learning First Order Logic Time Series Classifiers
A method for learning multivariate time series classifiers by inductive logic programming is presented. Two types of background predicate that are suited for this task are introduc...
Juan José Rodríguez, Carlos J. Alons...