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» Learning Approaches to Wrapper Induction
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JMLR
2006
112views more  JMLR 2006»
14 years 11 months ago
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting
We develop kernels for measuring the similarity between relational instances using background knowledge expressed in first-order logic. The method allows us to bridge the gap betw...
Andrea Passerini, Paolo Frasconi, Luc De Raedt
CIVR
2003
Springer
107views Image Analysis» more  CIVR 2003»
15 years 5 months ago
Fast Video Retrieval under Sparse Training Data
Feature selection for video retrieval applications is impractical with existing techniques, because of their high time complexity and their failure on the relatively sparse trainin...
Yan Liu, John R. Kender
ISCC
2000
IEEE
106views Communications» more  ISCC 2000»
15 years 4 months ago
Packet Scheduling Based on Learning in the Next Generation Internet Architectures
With multimedia applications, the Internet traffic increased a lot in volume, but also suffered major alterations in its nature, requesting other network services besides the curr...
Alencar de Melo Jr., Juan Manuel Adán Coell...
BCS
2008
15 years 1 months ago
A Customisable Multiprocessor for Application-Optimised Inductive Logic Programming
This paper describes a customisable processor designed to accelerate execution of inductive logic programming, targeting advanced field-programmable gate array (FPGA) technology. ...
Andreas Fidjeland, Wayne Luk, Stephen Muggleton
IJCAI
1993
15 years 1 months ago
Multiple Predicate Learning
We study multiple predicate learning in an empirical setting. Problems with existing inductive logic programming approaches in this setting are sketched and an empirical ILP syste...
Luc De Raedt, Nada Lavrac, Saso Dzeroski