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ECML
2001
Springer
13 years 10 months ago
A Framework for Learning Rules from Multiple Instance Data
Abstract. This paper proposes a generic extension to propositional rule learners to handle multiple-instance data. In a multiple-instance representation, each learning example is r...
Yann Chevaleyre, Jean-Daniel Zucker
JDWM
2007
122views more  JDWM 2007»
13 years 5 months ago
A Hyper-Heuristic for Descriptive Rule Induction
Rule induction from examples is a machine learning technique that finds rules of the form condition → class, where condition and class are logic expressions of the form variable...
Tho Hoan Pham, Tu Bao Ho
ICDE
1993
IEEE
116views Database» more  ICDE 1993»
13 years 10 months ago
The Volcano Optimizer Generator: Extensibility and Efficient Search
Emerging database application domains demand not only new functionality but also high performance. To satisfy these two requirements, the Volcano project provides efficient, exten...
Goetz Graefe, William J. McKenna
CORR
2010
Springer
194views Education» more  CORR 2010»
13 years 3 months ago
A Focused Sequent Calculus Framework for Proof Search in Pure Type Systems
Basic proof search tactics in logic and type theory can be seen as the root-rst applications of rules in an appropriate sequent calculus, preferably without the redundancies gener...
Stéphane Lengrand, Roy Dyckhoff, James McKi...
AMT
2006
Springer
108views Multimedia» more  AMT 2006»
13 years 9 months ago
Large Scale Analysis of Search Engine Content
We mine a large taxonomic dataset for subject classification rules. We then use these rules to perform an extensive analysis of the subject matter of the largest general purpose in...
John D. King