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» A statistical approach to rule learning
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SAC
2009
ACM
16 years 1 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
ECML
1997
Springer
15 years 10 months ago
Global Data Analysis and the Fragmentation Problem in Decision Tree Induction
We investigate an inherent limitation of top-down decision tree induction in which the continuous partitioning of the instance space progressively lessens the statistical support o...
Ricardo Vilalta, Gunnar Blix, Larry A. Rendell
LREC
2010
144views Education» more  LREC 2010»
15 years 7 months ago
Inferring Syntactic Rules for Word Alignment through Inductive Logic Programming
This paper presents and evaluates an original approach to automatically align bitexts at the word level. It relies on a syntactic dependency analysis of the source and target text...
Sylwia Ozdowska, Vincent Claveau
EC
2006
121views ECommerce» more  EC 2006»
15 years 6 months ago
A Study of Structural and Parametric Learning in XCS
The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...
Tim Kovacs, Manfred Kerber
IJCAI
1993
15 years 7 months ago
Statistical Foundations for Default Reasoning
We describe a new approach to default reasoning, based on a principle of indi erence among possible worlds. We interpret default rules as extreme statistical statements, thus obta...
Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, ...