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ILP
2007
Springer
14 years 1 months ago
Learning with Kernels and Logical Representations
In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...
Paolo Frasconi
TYPES
2004
Springer
14 years 28 days ago
A Machine-Checked Formalization of the Random Oracle Model
Abstract. Most approaches to the formal analysis of cryptography protocols make the perfect cryptographic assumption, which entails for example that there is no way to obtain knowl...
Gilles Barthe, Sabrina Tarento
AIIA
1997
Springer
13 years 11 months ago
Introducing Abduction into (Extensional) Inductive Logic Programming Systems
We propose an approach for the integration of abduction and induction in Logic Programming. In particular, we show how it is possible to learn an abductive logic program starting f...
Evelina Lamma, Paola Mello, Michela Milano, Fabriz...
ICPR
2010
IEEE
13 years 11 months ago
Scene Text Extraction with Edge Constraint and Text Collinearity
In this paper, we propose a framework for isolating text regions from natural scene images. The main algorithm has two functions: it generates text region candidates, and it veri...
Seonghun Lee, Kyomin Jung, Jin Hyung Kim
TABLEAUX
1995
Springer
13 years 11 months ago
Constraint Model Elimination and a PTTP-Implementation
In constraint logic programming, proof procedures for Horn clauses are enhanced with an interface to efficient constraint solvers. In this paper we show how to incorporate constra...
Peter Baumgartner, Frieder Stolzenburg