Constraint Inductive Logic Programming
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Constraint Inductive Logic Programming
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| Id. |
41796942 |
| Idioma |
inglés
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| Titulo |
Constraint Inductive Logic Programming |
| Localización |
http://citeseer.ist.psu.edu/361582.html
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| Versión |
1.0 |
| Estado |
Final
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| Descripción |
. This paper is concerned with learning from positive
and negative examples expressed in first-order logic with numerical constants.
The presented approach is based on the cooperation of Inductive
Logic Programming (ILP) and Constraint Logic Programming (CLP),
and proceeds as follows:
ffl A discriminant induction problem is shown to be equivalent to a Constraint
Satisfaction Problem (CSP): all constrained clauses covering positive
examples and rejecting negative examples can be trivially derived
from the solutions of this CSP.
ffl Solving this CSP then allows to build the G set of solutions in terms of
Version Spaces; this resolution can be delegated to a constraint solver.
ffl This CSP provides a tractable computational characterization of G,
which is sufficient to classify further examples and offers simple countingbased
heuristics to resist noisy data.
In this hybrid ILP-CLP approach, CLP performs most of the search
involved in inductive learning; the advantage is to ...
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| Tipo |
ps
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| Palabras clave |
Constraint Inductive Logic Programming
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| Tipo de Interactividad |
Expositivo
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| Nivel de Interactividad |
muy bajo
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| Audiencia |
Estudiante
Profesor
Autor
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| Estructura |
Atomic |
| Coste |
no
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| Copyright |
sí
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unrestricted |
| Formatos |
ps
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| Requerimientos técnicos |
Browser: Any
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| Relación |
[IsBasedOn] http://www.lri.fr/Francais/Recherche/ia/articles/sebag/1996/sebag96c.ps.gz
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| Fecha de contribución |
31-mar-2009 |
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