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GECCO
2011
Springer
274views Optimization» more  GECCO 2011»
14 years 8 months ago
Fuzzy dynamical genetic programming in XCSF
—A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to Neural Networks, and more recently Dynamical ...
Richard Preen, Larry Bull
CADE
2008
Springer
16 years 4 months ago
Compositional Proofs with Symbolic Execution
Abstract. A proof method is described which combines compositional proofs of interleaved parallel programs with the intuitive and highly automatic strategy of symbolic execution. A...
Simon Bäumler, Florian Nafz, Michael Balser, ...
SAC
2010
ACM
15 years 11 months ago
Variable ranges in linear constraints
We introduce an extension of linear constraints, called linearrange constraints, which allows for (meta-)reasoning about the approximation width of variables. Semantics for linear...
Salvatore Ruggieri, Fred Mesnard
AAAI
2006
15 years 5 months ago
kFOIL: Learning Simple Relational Kernels
A novel and simple combination of inductive logic programming with kernel methods is presented. The kFOIL algorithm integrates the well-known inductive logic programming system FO...
Niels Landwehr, Andrea Passerini, Luc De Raedt, Pa...
JMLR
2006
112views more  JMLR 2006»
15 years 4 months ago
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting
We develop kernels for measuring the similarity between relational instances using background knowledge expressed in first-order logic. The method allows us to bridge the gap betw...
Andrea Passerini, Paolo Frasconi, Luc De Raedt