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FLAIRS
2001
15 years 3 months ago
Improvement of Nearest-Neighbor Classifiers via Support Vector Machines
Theoretically well-founded, Support Vector Machines (SVM)are well-knownto be suited for efficiently solving classification problems. Althoughimprovedgeneralization is the maingoal...
Marc Sebban, Richard Nock
JMLR
2008
150views more  JMLR 2008»
15 years 1 months ago
Discriminative Learning of Max-Sum Classifiers
The max-sum classifier predicts n-tuple of labels from n-tuple of observable variables by maximizing a sum of quality functions defined over neighbouring pairs of labels and obser...
Vojtech Franc, Bogdan Savchynskyy
ISBI
2008
IEEE
16 years 2 months ago
Automated comparison of protein subcellular location patterns between images of normal and cancerous tissues
Early cancer diagnosis and evaluation of cancer progression during treatment are two important factors for clinical therapy. In this study we propose a novel approach which automa...
Estelle Glory, Justin Newberg, Robert F. Murphy
ICLP
1997
Springer
15 years 5 months ago
A Practical Approach to Structure Reuse of Arrays in Single Assignment Languages
Array updates in single assignment languages generally require some copying of the array, and thus tend to be more expensive than in imperative languages. As a result, programs in...
Andreas Kågedal, Saumya K. Debray
EUSFLAT
2009
152views Fuzzy Logic» more  EUSFLAT 2009»
14 years 11 months ago
Learning Fuzzy Rule Based Classifier in High Performance Computing Environment
-- An approach to estimate the number of rules by spectral analysis of the training dataset has been recently proposed [1]. This work presents an analysis of such a method in high ...
Vinicius da F. Vieira, Alexandre Evsukoff, Beatriz...