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» Learning Stochastic Logic Programs
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GECCO
2007
Springer
215views Optimization» more  GECCO 2007»
13 years 11 months ago
Finding safety errors with ACO
Model Checking is a well-known and fully automatic technique for checking software properties, usually given as temporal logic formulae on the program variables. Most model checke...
Enrique Alba, J. Francisco Chicano
ML
2006
ACM
13 years 7 months ago
Gleaner: Creating ensembles of first-order clauses to improve recall-precision curves
Many domains in the field of Inductive Logic Programming (ILP) involve highly unbalanced data. A common way to measure performance in these domains is to use precision and recall i...
Mark Goadrich, Louis Oliphant, Jude W. Shavlik
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
13 years 7 months ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay
USS
2010
13 years 5 months ago
Toward Automated Detection of Logic Vulnerabilities in Web Applications
Web applications are the most common way to make services and data available on the Internet. Unfortunately, with the increase in the number and complexity of these applications, ...
Viktoria Felmetsger, Ludovico Cavedon, Christopher...
ICML
2008
IEEE
14 years 8 months ago
Fast estimation of first-order clause coverage through randomization and maximum likelihood
In inductive logic programming, subsumption is a widely used coverage test. Unfortunately, testing -subsumption is NP-complete, which represents a crucial efficiency bottleneck fo...
Filip Zelezný, Ondrej Kuzelka