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» Rule Combination in Inductive Learning
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EMNLP
2006
14 years 11 months ago
Partially Supervised Coreference Resolution for Opinion Summarization through Structured Rule Learning
Combining fine-grained opinion information to produce opinion summaries is important for sentiment analysis applications. Toward that end, we tackle the problem of source corefere...
Veselin Stoyanov, Claire Cardie
SAC
2009
ACM
15 years 4 months ago
LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction
Decision trees are widely disseminated as an effective solution for classification tasks. Decision tree induction algorithms have some limitations though, due to the typical strat...
Márcio P. Basgalupp, Rodrigo C. Barros, And...
AI
2000
Springer
14 years 9 months ago
Wrapper induction: Efficiency and expressiveness
The Internet presents numerous sources of useful information--telephone directories, product catalogs, stock quotes, event listings, etc. Recently, many systems have been built th...
Nicholas Kushmerick
GECCO
2007
Springer
195views Optimization» more  GECCO 2007»
15 years 3 months ago
MILCS: a mutual information learning classifier system
This paper introduces a new variety of learning classifier system (LCS), called MILCS, which utilizes mutual information as fitness feedback. Unlike most LCSs, MILCS is specifical...
Robert Elliott Smith, Max Kun Jiang
CORR
2002
Springer
91views Education» more  CORR 2002»
14 years 9 months ago
Data Engineering for the Analysis of Semiconductor Manufacturing Data
We have analyzed manufacturing data from several different semiconductor manufacturing plants, using decision tree induction software called Q-YIELD. The software generates rules ...
Peter D. Turney