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JMLR
2006
89views more  JMLR 2006»
15 years 4 months ago
Maximum-Gain Working Set Selection for SVMs
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small wor...
Tobias Glasmachers, Christian Igel
JMLR
2006
104views more  JMLR 2006»
15 years 4 months ago
Learning Image Components for Object Recognition
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
Michael W. Spratling
JSA
2006
103views more  JSA 2006»
15 years 4 months ago
FMESP: Framework for the modeling and evaluation of software processes
Nowadays, organizations face with a very high competitiveness and for this reason they have to continuously improve their processes. Two key aspects to be considered in the softwa...
Félix García, Mario Piattini, Franci...
106
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JSYML
2006
86views more  JSYML 2006»
15 years 4 months ago
Degrees of monotone complexity
Levin and Schnorr (independently) introduced the monotone complexity, Km(), of a binary string . We use monotone complexity to define the relative complexity (or relative randomnes...
William C. Calhoun
FSS
2007
82views more  FSS 2007»
15 years 4 months ago
An empirical test of some measurement-theoretic axioms for fuzzy sets
In the previous years some authors have been elaborating on the measurementtheoretic foundations of fuzzy set theory. A well-known problem in this approach is the difficult applic...
C. Desimpelaere, Thierry Marchant