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COLING
2000
13 years 6 months ago
Learning Semantic-Level Information Extraction Rules by Type-Oriented ILP
This paper describes an approach to using semantic rcprcsentations for learning information extraction (IE) rules by a type-oriented inductire logic programming (ILl)) system. NLP...
Yutaka Sasaki, Yoshihiro Matsuo
IEEEPACT
2000
IEEE
13 years 9 months ago
Global Register Partitioning
Modern computers have taken advantage of the instruction-level parallelism (ILP) available in programs with advances in both architecture and compiler design. Unfortunately, large...
Jason Hiser, Steve Carr, Philip H. Sweany
PKDD
2000
Springer
120views Data Mining» more  PKDD 2000»
13 years 8 months ago
Multi-Relational Data Mining, Using UML for ILP
Although there is a growing need for multi-relational data mining solutions in KDD, the use of obvious candidates from the field of Inductive Logic Programming (ILP) has been limit...
Arno J. Knobbe, Arno Siebes, Hendrik Blockeel, Dan...
ILP
2000
Springer
13 years 8 months ago
Searching the Subsumption Lattice by a Genetic Algorithm
A framework for combining Genetic Algorithms with ILP methods is introduced and a novel binary representation and relevant genetic operators are discussed. It is shown that the pro...
Alireza Tamaddoni-Nezhad, Stephen Muggleton
IEEEPACT
2000
IEEE
13 years 9 months ago
On Some Implementation Issues for Value Prediction on Wide-Issue ILP Processors
In this paper, we look at two issues which could affect the performance of value prediction on wide-issue ILP processors. One is the large number of accesses to the value predicti...
Sang Jeong Lee, Pen-Chung Yew