Scaling Up Inductive Logic Programming by Learning From Interpretations
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Scaling Up Inductive Logic Programming by Learning From Interpretations
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| Id. |
46430311 |
| Idioma |
inglés
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| Titulo |
Scaling Up Inductive Logic Programming by Learning From Interpretations |
| Autor(es) |
Hendrik Blockeel Hendrik Blockeel Luc De Raedt Luc De Raedt Nico Jacobs Nico Jacobs Bart Demoen Bart Demoen |
| Localización |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.1065
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| Versión |
1.0 |
| Estado |
Final
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| Descripción |
When comparing inductive logic programming (ILP) and attributevalue learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming techniques are typically more expressive but also less efficient. Therefore, the data sets handled by current inductive logic programming systems are small according to general standards within the data mining community. The main source of inefficiency lies in the assumption that several examples may be related to each other, so they cannot be handled independently. Within the learning from interpretations framework for inductive logic programming this assumption is unnecessary, which allows to scale up existing ILP algorithms. In this paper we explain this learning setting in the context of relational databases. We relate the setting to propositional data mining and to the classical ILP setting, and show that learning from interpretations corresponds to learning from multiple relations and thus... |
| Tipo |
application/postscript |
| Palabras clave |
Inductive logic programming |
| Tipo de recurso |
Texto Narrativo
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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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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| Formatos |
application/postscript |
| Requerimientos técnicos |
Browser: Any |
| Relación |
[IsBasedOn] http://www.cs.kuleuven.ac.be/publicaties/rapporten/cw/CW297.ps.gz
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| Fecha de contribución |
28-jul-2009 |
| Contacto |
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