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» Control Generation for Logic Programs
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ILP
2007
Springer
14 years 2 months ago
Learning with Kernels and Logical Representations
In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...
Paolo Frasconi
SMC
2007
IEEE
118views Control Systems» more  SMC 2007»
14 years 2 months ago
One-class learning with multi-objective genetic programming
One-class classification naturally only provides one class of exemplars on which to construct the classification model. In this work, multiobjective genetic programming (GP) all...
Robert Curry, Malcolm I. Heywood
ICRA
2005
IEEE
129views Robotics» more  ICRA 2005»
14 years 1 months ago
Dynamic Programming in Reduced Dimensional Spaces: Dynamic Planning For Robust Biped Locomotion
— We explore the use of computational optimal control techniques for automated construction of policies in complex dynamic environments. Our implementation of dynamic programming...
Mike Stilman, Christopher G. Atkeson, James Kuffne...
CP
2007
Springer
14 years 2 months ago
Propagation = Lazy Clause Generation
Finite domain propagation solvers effectively represent the possible values of variables by a set of choices which can be naturally modelled as Boolean variables. In this paper we...
Olga Ohrimenko, Peter J. Stuckey, Michael Codish
CP
2006
Springer
13 years 11 months ago
Generating Propagators for Finite Set Constraints
Ideally, programming propagators as implementations of constraints should be an entirely declarative specification process for a large class of constraints: a high-level declarativ...
Guido Tack, Christian Schulte, Gert Smolka