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CICLING
2010
Springer
13 years 12 months ago
ETL Ensembles for Chunking, NER and SRL
We present a new ensemble method that uses Entropy Guided Transformation Learning (ETL) as the base learner. The proposed approach, ETL Committee, combines the main ideas of Baggin...
Cícero Nogueira dos Santos, Ruy Luiz Milidi...
JITECH
2010
160views more  JITECH 2010»
13 years 3 months ago
Social software for business process modeling
Formal models of business processes are used for a variety of purposes. But where the elicitation of the characteristics of a business process usually takes place in a collaborati...
Agnes Koschmider, Minseok Song, Hajo A. Reijers
BMCBI
2004
128views more  BMCBI 2004»
13 years 8 months ago
Comparing transformation methods for DNA microarray data
Background: When DNA microarray data are used for gene clustering, genotype/phenotype correlation studies, or tissue classification the signal intensities are usually transformed ...
Helene H. Thygesen, Aeilko H. Zwinderman
CVPR
2009
IEEE
14 years 14 days ago
Efficiently training a better visual detector with sparse eigenvectors
Face detection plays an important role in many vision applications. Since Viola and Jones [1] proposed the first real-time AdaBoost based object detection system, much effort has ...
Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhan...
CSDA
2008
77views more  CSDA 2008»
13 years 8 months ago
Maximizing equity market sector predictability in a Bayesian time-varying parameter model
A large body of evidence has emerged in recent studies confirming that macroeconomic factors play an important role in determining investor risk premia and the ultimate path of eq...
Lorne D. Johnson, Georgios Sakoulis