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» Comparing Approaches to Implement Feature Model Composition
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ECAI
2004
Springer
14 years 3 months ago
A Generalized Quadratic Loss for Support Vector Machines
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...
Filippo Portera, Alessandro Sperduti
DKE
2008
88views more  DKE 2008»
13 years 10 months ago
Quantifying process equivalence based on observed behavior
In various application domains there is a desire to compare process models, e.g., to relate an organization-specific process model to a reference model, to find a web service matc...
Ana Karla Alves de Medeiros, Wil M. P. van der Aal...
GPEM
2002
163views more  GPEM 2002»
13 years 10 months ago
Fast Ant Colony Optimization on Runtime Reconfigurable Processor Arrays
Ant Colony Optimization (ACO) is a metaheuristic used to solve combinatorial optimization problems. As with other metaheuristics, like evolutionary methods, ACO algorithms often sh...
Daniel Merkle, Martin Middendorf
AIEDU
2007
85views more  AIEDU 2007»
13 years 10 months ago
Opening up the Interpretation Process in an Open Learner Model
Opening a model of the learner is a potentially complex operation. There are many aspects of the learner that can be modelled, and many of these aspects may need to be opened in di...
Nicolas van Labeke, Paul Brna, Rafael Morales
IROS
2009
IEEE
200views Robotics» more  IROS 2009»
14 years 5 months ago
Fast geometric point labeling using conditional random fields
— In this paper we present a new approach for labeling 3D points with different geometric surface primitives using a novel feature descriptor – the Fast Point Feature Histogram...
Radu Bogdan Rusu, Andreas Holzbach, Nico Blodow, M...