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ICTAI
2007
IEEE
14 years 5 months ago
ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...
Yunsong Guo, Bart Selman
SMC
2007
IEEE
118views Control Systems» more  SMC 2007»
14 years 5 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
IADIS
2004
14 years 17 days ago
Implementing Cognitive Modellig in CS Education: Aligning Theory and Practice of Learning to Program
It can be argued that although computer science may seem one of the best researched areas, it could also be one of the worst taught. In this research we examine the residual probl...
Des Traynor, J. Gibson
ICPR
2008
IEEE
15 years 11 days ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
ICTAI
2010
IEEE
13 years 9 months ago
Combining Mixed Integer Programming and Supervised Learning for Fast Re-planning
We introduce a new plan repair method for problems cast as Mixed Integer Programs. In order to tackle the inherent complexity of these NP-hard problems, our approach relies on the ...
Emmanuel Rachelson, Ala Ben Abbes, Sebastien Dieme...