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ICPR
2004
IEEE
14 years 6 months ago
A Consistency-Based Model Selection for One-Class Classification
Model selection in unsupervised learning is a hard problem. In this paper a simple selection criterion for hyperparameters in one-class classifiers (OCCs) is proposed. It makes us...
David M. J. Tax, Klaus-Robert Müller
ESWA
2008
102views more  ESWA 2008»
13 years 5 months ago
Hierarchical classifier with overlapping class groups
In this paper a novel complex classifier architecture is proposed. The architecture has a hierarchical tree-like structure with simple artificial neural networks (ANNs) at each no...
Igor T. Podolak
CIARP
2005
Springer
13 years 11 months ago
Classifier Selection Based on Data Complexity Measures
Tin Kam Ho and Ester Bernardò Mansilla in 2004 proposed to use data complexity measures to determine the domain of competition of the classifiers. They applied different classifie...
Edith Hernández-Reyes, Jesús Ariel C...
IJCGA
2010
155views more  IJCGA 2010»
13 years 4 months ago
Competitive Complexity of Mobile Robot on-Line Motion Planning Problems
This paper is concerned with on-line problems where a mobile robot of size D has to achieve a task in an unknown planar environment whose geometry is acquired by the robot during ...
Yoav Gabriely, Elon Rimon
HIS
2008
13 years 7 months ago
Genetic-Based Synthetic Data Sets for the Analysis of Classifiers Behavior
In this paper, we highlight the use of synthetic data sets to analyze learners behavior under bounded complexity. We propose a method to generate synthetic data sets with a specif...
Núria Macià, Albert Orriols-Puig, Es...