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» An Approach to Generation of Decision Rules
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ASPLOS
2006
ACM
15 years 3 months ago
Automatic generation of peephole superoptimizers
Peephole optimizers are typically constructed using human-written pattern matching rules, an approach that requires expertise and time, as well as being less than systematic at ex...
Sorav Bansal, Alex Aiken
CADE
2004
Springer
15 years 10 months ago
The ICS Decision Procedures for Embedded Deduction
contexts such as construction of abstractions, speed may be favored over completeness, so that undecidable theories (e.g., nonlinear integer arithmetic) and those whose decision pr...
Leonardo Mendonça de Moura, Sam Owre, Haral...
ECML
2007
Springer
15 years 1 months ago
Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
Anneleen Van Assche, Hendrik Blockeel
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
15 years 4 months ago
Rule Ensembles for Multi-target Regression
—Methods for learning decision rules are being successfully applied to many problem domains, especially where understanding and interpretation of the learned model is necessary. ...
Timo Aho, Bernard Zenko, Saso Dzeroski
COLING
2000
14 years 11 months ago
Learning Semantic-Level Information Extraction Rules by Type-Oriented ILP
This paper describes an approach to using semantic rcprcsentations for learning information extraction (IE) rules by a type-oriented inductire logic programming (ILl)) system. NLP...
Yutaka Sasaki, Yoshihiro Matsuo