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» Learning Linear Precedence Rules
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NAACL
2007
14 years 11 months ago
Tree Revision Learning for Dependency Parsing
We present a revision learning model for improving the accuracy of a dependency parser. The revision stage corrects the output of the base parser by means of revision rules learne...
Giuseppe Attardi, Massimiliano Ciaramita
HIS
2003
14 years 10 months ago
Rated MCRDR: Finding non-Linear Relationships Between Classifications in MCRDR
Multiple Classification Ripple Down Rules (MCRDR) is a simple and effective knowledge acquisition technique that produces representations, or knowledge maps, of a human expert’s ...
Richard Dazeley, Byeong Ho Kang
AUSAI
1999
Springer
15 years 1 months ago
Generating Rule Sets from Model Trees
Model trees—decision trees with linear models at the leaf nodes—have recently emerged as an accurate method for numeric prediction that produces understandable models. However,...
Geoffrey Holmes, Mark Hall, Eibe Frank
IJAR
2008
161views more  IJAR 2008»
14 years 9 months ago
Bayesian learning for a class of priors with prescribed marginals
We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are mot...
Hermann Held, Thomas Augustin, Elmar Kriegler
IJIT
2004
14 years 10 months ago
Design of Gain Scheduled Fuzzy PID Controller
An adaptive fuzzy PID controller with gain scheduling is proposed in this paper. The structure of the proposed gain scheduled fuzzy PID (GS_FPID) controller consists of both fuzzy ...
Leehter Yao, Chin-chin Lin