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99
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EMO
2009
Springer
147views Optimization» more  EMO 2009»
15 years 7 months ago
Application of MOGA Search Strategy to SVM Training Data Selection
When training Support Vector Machine (SVM), selection of a training data set becomes an important issue, since the problem of overfitting exists with a large number of training da...
Tomoyuki Hiroyasu, Masashi Nishioka, Mitsunori Mik...
115
Voted
APSEC
2003
IEEE
15 years 6 months ago
Selecting Components: a Process for Context-Driven Evaluation
This paper describes a process for selecting and evaluating candidates for component based software engineering. The process is aimed at developers sourcing components from third ...
Valerie Maxville, Chiou Peng Lam, Jocelyn Armarego
GECCO
2003
Springer
15 years 6 months ago
Selection Intensity in Asynchronous Cellular Evolutionary Algorithms
Abstract. This paper presents a theoretical study of the selection pressure in asynchronous cellular evolutionary algorithms (cEAs). This work is motivated by the search for a gene...
Mario Giacobini, Enrique Alba, Marco Tomassini
INFOCOM
1999
IEEE
15 years 5 months ago
Efficient Selective Frame Discard Algorithms for Stored Video Delivery across Resource Constrained Networks
Video delivery from a server to a client across a network is an important component of many multimedia applications. While delivering a video stream across a resource constrained ...
Zhi-Li Zhang, Srihari Nelakuditi, Rahul Aggarwal, ...
133
Voted
LREC
2008
140views Education» more  LREC 2008»
15 years 2 months ago
Toward Active Learning in Data Selection: Automatic Discovery of Language Features During Elicitation
Data Selection has emerged as a common issue in language technologies. We define Data Selection as the choosing of a subset of training data that is most effective for a given tas...
Jonathan Clark, Robert E. Frederking, Lori S. Levi...