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» Symbolic Test Selection Based on Approximate Analysis
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ICML
2005
IEEE
14 years 8 months ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...
BMCBI
2010
138views more  BMCBI 2010»
13 years 7 months ago
UFFizi: a generic platform for ranking informative features
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
Assaf Gottlieb, Roy Varshavsky, Michal Linial, Dav...
PVLDB
2010
105views more  PVLDB 2010»
13 years 6 months ago
Destabilizers and Independence of XML Updates
Independence analysis is the problem of determining whether an update affects the result of a query, e.g. a constraint or materialized view. We develop a new, modular framework fo...
Michael Benedikt, James Cheney
BMCBI
2008
154views more  BMCBI 2008»
13 years 7 months ago
GenomeMatcher: A graphical user interface for DNA sequence comparison
Background: The number of available genome sequences is increasing, and easy-to-use software that enables efficient comparative analysis is needed. Results: We developed GenomeMat...
Yoshiyuki Ohtsubo, Wakako Ikeda-Ohtsubo, Yuji Naga...
TEC
2002
89views more  TEC 2002»
13 years 7 months ago
An immunity-based technique to characterize intrusions in computer networks
Abstract--This paper presents a technique inspired by the negative selection mechanism of the immune system that can detect foreign patterns in the complement (nonself) space. In p...
Fabio A. González, Dipankar Dasgupta