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IJCAI
2007
15 years 8 months ago
A Subspace Kernel for Nonlinear Feature Extraction
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
Mingrui Wu, Jason D. R. Farquhar
IJCIS
2006
80views more  IJCIS 2006»
15 years 6 months ago
A Layered Framework for Connecting Client Objectives and Resource Capabilities
entifies three levels of abstraction for resource requirements a service provider needs to manage, detailed specification of raw resources, virtualization of heterogeneous resource...
Asit Dan, Kavitha Ranganathan, Catalin Dumitrescu,...
BMCBI
2005
143views more  BMCBI 2005»
15 years 6 months ago
Evaluation of BioCreAtIvE assessment of task 2
Background: Molecular Biology accumulated substantial amounts of data concerning functions of genes and proteins. Information relating to functional descriptions is generally extr...
Christian Blaschke, Eduardo Andrés Le&oacut...
NN
2000
Springer
192views Neural Networks» more  NN 2000»
15 years 6 months ago
A new algorithm for learning in piecewise-linear neural networks
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...
JIIS
2002
141views more  JIIS 2002»
15 years 6 months ago
Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search
Adaptable similarity queries based on quadratic form distance functions are widely popular in data mining application domains including multimedia, CAD, molecular biology or medica...
Christian Böhm, Hans-Peter Kriegel, Thomas Se...