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» On Feature Selection through Clustering
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OOPSLA
2004
Springer
14 years 1 months ago
Resolving feature convolution in middleware systems
Middleware provides simplicity and uniformity for the development of distributed applications. However, the modularity of the architecture of middleware is starting to disintegrat...
Charles Zhang, Hans-Arno Jacobsen
EMNLP
2011
12 years 7 months ago
Cross-Cutting Models of Lexical Semantics
Context-dependent word similarity can be measured over multiple cross-cutting dimensions. For example, lung and breath are similar thematically, while authoritative and superfici...
Joseph Reisinger, Raymond J. Mooney
ICANN
2007
Springer
13 years 11 months ago
Active Learning to Support the Generation of Meta-examples
Meta-Learning has been used to select algorithms based on the features of the problems being tackled. Each training example in this context, i.e. each meta-example, stores the feat...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
CLUSTER
2008
IEEE
14 years 2 months ago
Empirical-based probabilistic upper bounds for urgent computing applications
—Scientific simulation and modeling often aid in making critical decisions in such diverse fields as city planning, severe weather prediction and influenza modeling. In some o...
Nick Trebon, Peter H. Beckman
INFSOF
2002
147views more  INFSOF 2002»
13 years 7 months ago
On the efficiency of domain-based COTS product selection method
Use of commercial-off-the-shelf (COTS) products is becoming a popular software development method. Current methods of selecting COTS products involve using the intuition of softwa...
Karl R. P. H. Leung, Hareton K. N. Leung