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» An Algorithm for Learning Abductive Rules
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FUZZIEEE
2007
IEEE
14 years 2 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero
NLP
2000
13 years 11 months ago
Learning Rules for Large-Vocabulary Word Sense Disambiguation: A Comparison of Various Classifiers
In this article we compare the performance of various machine learning algorithms on the task of constructing word-sense disambiguation rules from data. The distinguishing characte...
Georgios Paliouras, Vangelis Karkaletsis, Ion Andr...
ICML
2005
IEEE
14 years 8 months ago
Fast condensed nearest neighbor rule
We present a novel algorithm for computing a training set consistent subset for the nearest neighbor decision rule. The algorithm, called FCNN rule, has some desirable properties....
Fabrizio Angiulli
LREC
2010
216views Education» more  LREC 2010»
13 years 9 months ago
Automatic Grammar Rule Extraction and Ranking for Definitions
Learning texts contain much implicit knowledge which is ideally presented to the learner in a structured manner - a typical example being definitions of terms in the text, which w...
Claudia Borg, Mike Rosner, Gordon J. Pace
ESANN
2007
13 years 9 months ago
Intrinsic plasticity for reservoir learning algorithms
One of the most difficult problems in using dynamic reservoirs like echo state networks for signal processing is the choice of reservoir network parameters like connectivity or spe...
Marion Wardermann, Jochen J. Steil