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ACSW
2004
15 years 1 months ago
A Market-based Rule Learning System
In this paper, a `market trading' technique is integrated with the techniques of rule discovery and refinement for data mining. A classifier system-inspired model, the market...
Qingqing Zhou, Martin K. Purvis
107
Voted
ICDM
2002
IEEE
153views Data Mining» more  ICDM 2002»
15 years 4 months ago
Generating an informative cover for association rules
Mining association rules may generate a large numbers of rules making the results hard to analyze manually. Pasquier et al. have discussed the generation of GuiguesDuquenne–Luxe...
Laurentiu Cristofor, Dan A. Simovici
AAAI
2012
13 years 2 months ago
Advances in Lifted Importance Sampling
We consider lifted importance sampling (LIS), a previously proposed approximate inference algorithm for statistical relational learning (SRL) models. LIS achieves substantial vari...
Vibhav Gogate, Abhay Kumar Jha, Deepak Venugopal
87
Voted
EMNLP
2009
14 years 9 months ago
Bayesian Learning of Phrasal Tree-to-String Templates
We examine the problem of overcoming noisy word-level alignments when learning tree-to-string translation rules. Our approach introduces new rules, and reestimates rule probabilit...
Ding Liu, Daniel Gildea
RULEML
2005
Springer
15 years 5 months ago
Nested Rules in Defeasible Logic
Defeasible Logic is a rule-based non-monotonic logic with tractable reasoning services. In this paper we extend Defeasible Logic with nested rules. We consider a new Defeasible Log...
Insu Song, Guido Governatori