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CORR
2011
Springer
174views Education» more  CORR 2011»
12 years 11 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
KDD
1999
ACM
128views Data Mining» more  KDD 1999»
13 years 12 months ago
Towards Automated Synthesis of Data Mining Programs
Code synthesis is routinely used in industry to generate GUIs, form lling applications, and database support code and is even used with COBOL. In this paper we consider the questi...
Wray L. Buntine, Bernd Fischer 0002, Thomas Pressb...
GECCO
2005
Springer
151views Optimization» more  GECCO 2005»
14 years 1 months ago
The application of antigenic search techniques to time series forecasting
Time series have been a major topic of interest and analysis for hundreds of years, with forecasting a central problem. A large body of analysis techniques has been developed, par...
Ian Nunn, Tony White
ESOP
2005
Springer
14 years 1 months ago
A New Foundation for Control-Dependence and Slicing for Modern Program Structures
The notion of control dependence underlies many program analysis and transformation techniques used in numerous applications. Despite wide application, existing definitions and ap...
Venkatesh Prasad Ranganath, Torben Amtoft, Anindya...
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
14 years 1 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec