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ICTAI
2007
IEEE
16 years 1 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»
16 years 1 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
TLCA
2007
Springer
16 years 27 days ago
Higher-Order Logic Programming Languages with Constraints: A Semantics
A Kripke Semantics is defined for a higher-order logic programming language with constraints, based on Church’s Theory of Types and a generic constraint formalism. Our syntactic...
James Lipton, Susana Nieva
IISWC
2006
IEEE
16 years 24 days ago
Load Instruction Characterization and Acceleration of the BioPerf Programs
The load instructions of some of the bioinformatics applications in the BioPerf suite possess interesting characteristics: only a few static loads cover almost the entire dynamic ...
Paruj Ratanaworabhan, Martin Burtscher
SIGOPSE
2004
ACM
16 years 6 days ago
Using virtual markets to program global behavior in sensor networks
This paper presents market-based macroprogramming (MBM), a new paradigm for achieving globally efficient behavior in sensor networks. Rather than programming the individual, low-...
Geoffrey Mainland, Laura Kang, Sébastien La...