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» Post-Analysis of Learned Rules
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GECCO
2004
Springer
15 years 9 months ago
Experimental Evaluation of Discretization Schemes for Rule Induction
This paper proposes an experimental evaluation of various discretization schemes in three different evolutionary systems for inductive concept learning. The various discretization...
Jesús S. Aguilar-Ruiz, Jaume Bacardit, Fede...
SDM
2010
SIAM
158views Data Mining» more  SDM 2010»
15 years 5 months ago
On the Use of Combining Rules in Relational Probability Trees
A relational probability tree (RPT) is a type of decision tree that can be used for probabilistic classification of instances with a relational structure. Each leaf of an RPT cont...
Daan Fierens
CORR
2010
Springer
138views Education» more  CORR 2010»
15 years 24 days ago
Rules of Thumb for Information Acquisition from Large and Redundant Data
We develop an abstract model of information acquisition from redundant data. We assume a random sampling process from data which contain information with bias and are interested in...
Wolfgang Gatterbauer
TAL
2004
Springer
15 years 9 months ago
Automatic Acquisition of Transfer Rules from Translation Examples
In our research, we have developed a transfer-based machine translation architecture for the translation from Japanese into German. One main feature of the system is the fully auto...
Werner Winiwarter
150
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GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
15 years 10 months ago
Bayesian estimation of rule accuracy in UCS
Learning Classifier Systems differ from many other classification techniques, in that new rules are constantly discovered and evaluated. This feature of LCS gives rise to an im...
James A. R. Marshall, Gavin Brown, Tim Kovacs