Selective Inductive Logic Programming
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Selective Inductive Logic Programming
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| Id. |
41833929 |
| Idioma |
inglés
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| Titulo |
Selective Inductive Logic Programming |
| Autor(es) |
Heather Maclaren
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| Localización |
http://citeseer.ist.psu.edu/398533.html
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| Versión |
1.0 |
| Estado |
Final
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| Descripción |
. Given a target theory to learn that will continuously change
over time, an Inductive Logic Programming (ILP) algorithm would have
to constantly revise its current hypothesis. Instance-based learning methods
step round the need for theory revision, but don't allow the same
modelling of the underlying theory that we can accomplish using standard
ILP. In addition, the representations of the concepts modelled by
instance based-learning are not easily understood. We present a method
for learning a target theory that changes over time, combining Inductive
Logic Programming with instance based learning to produce a framework
which should draw on the positive aspects of both methods.
1 Introduction
There are several areas of possible learning where the theory to be learnt is not
`clear cut', i.e. where there may not be a final target theory, or the theory may
even change over time. One such area is modelling human actions in an attempt
to predict what they will do if given a parti...
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| Tipo |
ps
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| Palabras clave |
Heather Maclaren Selective 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://SunSITE.Informatik.RWTH-Aachen.DE/Publications/CEUR-WS/Vol-35/09-Maclaren.ps
[References] oai:CiteSeerPSU:279129
[References] oai:CiteSeerPSU:17705
[References] oai:CiteSeerPSU:230658
[References] oai:CiteSeerPSU:15559
[References] oai:CiteSeerPSU:3657
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| Fecha de contribución |
31-mar-2009 |
| Contacto |
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