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» Template Generation and Selection Algorithms
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2008
15 years 6 months ago
SWEEPER: An Efficient Disaster Recovery Point Identification Mechanism
Data corruption is one of the key problems that is on top of the radar screen of most CIOs. Continuous Data Protection (CDP) technologies help enterprises deal with data corruptio...
Akshat Verma, Kaladhar Voruganti, Ramani Routray, ...
ESANN
2006
15 years 5 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
KSEM
2010
Springer
15 years 2 months ago
A Concept Hierarchy Based Ontology Mapping Approach
Abstract. Ontology mapping is one of the most important tasks for ontology interoperability and its main aim is to find semantic relationships between entities (i.e. concept, attri...
Ying Wang, Weiru Liu, David A. Bell
TCBB
2010
108views more  TCBB 2010»
14 years 11 months ago
Identification of Full and Partial Class Relevant Genes
Multiclass cancer classification on microarray data has provided the feasibility of cancer diagnosis across all of the common malignancies in parallel. Using multiclass cancer feat...
Zexuan Zhu, Yew-Soon Ong, Jacek M. Zurada
CORR
2011
Springer
183views Education» more  CORR 2011»
14 years 8 months ago
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
Foster J. Provost, Gary M. Weiss