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BMCBI
2004
166views more  BMCBI 2004»
14 years 10 months ago
Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models
Background: Many current gene prediction methods use only one model to represent proteincoding regions in a genome, and so are less likely to predict the location of genes that ha...
Shaun Mahony, James O. McInerney, Terry J. Smith, ...
ESWA
2008
223views more  ESWA 2008»
14 years 10 months ago
Credit risk assessment with a multistage neural network ensemble learning approach
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
Lean Yu, Shouyang Wang, Kin Keung Lai
NAACL
2010
14 years 8 months ago
Good Question! Statistical Ranking for Question Generation
We address the challenge of automatically generating questions from reading materials for educational practice and assessment. Our approach is to overgenerate questions, then rank...
Michael Heilman, Noah A. Smith
COR
2007
176views more  COR 2007»
14 years 10 months ago
Scheduling and routing of automated guided vehicles: A hybrid approach
We propose a hybrid method designed to solve a problem of dispatching and conflict free routing of automated guided vehicles (AGVs) in a flexible manufacturing system (FMS). Thi...
Ayoub Insa Corréa, André Langevin, L...
CICLING
2010
Springer
15 years 5 months ago
GEMS: Generative Modeling for Evaluation of Summaries
Automated evaluation is crucial in the context of automated text summaries, as is the case with evaluation of any of the language technologies. In this paper we present a Generativ...
Rahul Katragadda