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» Measuring the Complexity of Classification Problems
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ICML
2007
IEEE
14 years 8 months ago
Support cluster machine
For large-scale classification problems, the training samples can be clustered beforehand as a downsampling pre-process, and then only the obtained clusters are used for training....
Bin Li, Mingmin Chi, Jianping Fan, Xiangyang Xue
ICPR
2008
IEEE
14 years 9 months ago
Preliminary approach on synthetic data sets generation based on class separability measure
Usually, performance of classifiers is evaluated on real-world problems that mainly belong to public repositories. However, we ignore the inherent properties of these data and how...
Núria Macià, Ester Bernadó-Ma...
PROMISE
2010
13 years 2 months ago
Replication of defect prediction studies: problems, pitfalls and recommendations
Background: The main goal of the PROMISE repository is to enable reproducible, and thus verifiable or refutable research. Over time, plenty of data sets became available, especial...
Thilo Mende
PAMI
2008
155views more  PAMI 2008»
13 years 7 months ago
Subclass Problem-Dependent Design for Error-Correcting Output Codes
A common way to model multiclass classification problems is by means of Error-Correcting Output Codes (ECOCs). Given a multiclass problem, the ECOC technique designs a code word fo...
Sergio Escalera, David M. J. Tax, Oriol Pujol, Pet...
KES
2008
Springer
13 years 7 months ago
Distance-Based Classification in OWL Ontologies
Abstract. We propose inductive distance-based methods for instance classification and retrieval in ontologies. Casting retrieval as a classification problem with the goal of assess...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito