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VLSID
2000
IEEE
79views VLSI» more  VLSID 2000»
14 years 3 months ago
Inductive Noise Reduction at the Architectural Level
A methodology for reducing ground bounce in typical microprocessors and image processing architectures has been described. As we approach Gigascale Integration, chip power consump...
Mondira Deb Pant, Pankaj Pant, D. Scott Wills, Viv...
ILP
2005
Springer
14 years 4 months ago
Converting Semantic Meta-knowledge into Inductive Bias
The Cyc KB has a rich pre-existing ontology for representing common sense knowledge. To clarify and enforce its terms’ semantics and to improve inferential efficiency, the Cyc on...
John Cabral, Robert C. Kahlert, Cynthia Matuszek, ...
ICGI
1998
Springer
14 years 3 months ago
A Stochastic Search Approach to Grammar Induction
This paper describes a new sampling-based heuristic for tree search named SAGE and presents an analysis of its performance on the problem of grammar induction. This last work has b...
Hugues Juillé, Jordan B. Pollack
ADMA
2010
Springer
248views Data Mining» more  ADMA 2010»
13 years 9 months ago
Classification Inductive Rule Learning with Negated Features
This paper reports on an investigation to compare a number of strategies to include negated features within the process of Inductive Rule Learning (IRL). The emphasis is on generat...
Stephanie Chua, Frans Coenen, Grant Malcolm
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 4 months ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez