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» Learning to Detect Objects of Many Classes Using Binary Clas...
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ESANN
2006
13 years 8 months ago
Classification by means of Evolutionary Response Surfaces
Abstract. Response surfaces are a powerful tool for both classification and regression as they are able to model many different phenomena and construct complex boundaries between c...
Rafael del Castillo Gomariz, Nicolás Garc&i...
BMCBI
2007
93views more  BMCBI 2007»
13 years 7 months ago
SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition
Background: Predicting a protein’s structural class from its amino acid sequence is a fundamental problem in computational biology. Much recent work has focused on developing ne...
Iain Melvin, Eugene Ie, Rui Kuang, Jason Weston, W...
CVPR
2009
IEEE
15 years 2 months ago
Dictionary-Free Categorization of Very Similar Objects via Stacked Evidence Trees
Current work in object categorization discriminates among objects that typically possess gross differences which are readily apparent. However, many applications require making ...
Andrew Moldenke, Asako Yamamuro, David A. Lytle, E...
IJSI
2008
156views more  IJSI 2008»
13 years 7 months ago
Co-Training by Committee: A Generalized Framework for Semi-Supervised Learning with Committees
Many data mining applications have a large amount of data but labeling data is often difficult, expensive, or time consuming, as it requires human experts for annotation. Semi-supe...
Mohamed Farouk Abdel Hady, Friedhelm Schwenker
KDD
2006
ACM
191views Data Mining» more  KDD 2006»
14 years 7 months ago
Beyond classification and ranking: constrained optimization of the ROI
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
Lian Yan, Patrick Baldasare