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» Selective Ensemble under Regularization Framework
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MCS
2009
Springer
15 years 5 months ago
Selective Ensemble under Regularization Framework
An ensemble is generated by training multiple component learners for a same task and then combining them for predictions. It is known that when lots of trained learners are availab...
Nan Li, Zhi-Hua Zhou
78
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KDID
2003
93views Database» more  KDID 2003»
14 years 11 months ago
A Framework for Frequent Sequence Mining under Generalized Regular Expression Constraints
This paper provides a framework for the extraction of frequent sequences satisfying a given regular expression (RE) constraint. We take advantage of the information contained in th...
Hunor Albert-Lorincz, Jean-François Boulica...
LREC
2010
165views Education» more  LREC 2010»
14 years 11 months ago
Maximum Entropy Classifier Ensembling using Genetic Algorithm for NER in Bengali
In this paper, we propose classifier ensemble selection for Named Entity Recognition (NER) as a single objective optimization problem. Thereafter, we develop a method based on gen...
Asif Ekbal, Sriparna Saha
103
Voted
UAI
2008
14 years 11 months ago
Feature Selection via Block-Regularized Regression
Identifying co-varying causal elements in very high dimensional feature space with internal structures, e.g., a space with as many as millions of linearly ordered features, as one...
Seyoung Kim, Eric P. Xing
105
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BMCBI
2008
219views more  BMCBI 2008»
14 years 10 months ago
Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles
Background: Pancreatic cancer is the fourth leading cause of cancer death in the United States. Consequently, identification of clinically relevant biomarkers for the early detect...
Guangtao Ge, G. William Wong