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Improving classification performance using metaclasses

SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483), 2004
In this paper we propose a new methodology to improve the performance of classifiers on relatively difficult classification problems with complex boundaries between classes, overlapping classes, and a lack of sufficient number of samples for some classes. We investigate the use of contextual information to overcome such problems, especially in the case
openaire   +1 more source

Performance Prediction for Classification Systems

1999
Performance prediction for classification systems is important. We present new techniques for such predictions in settings where data items are to be classified into two categories. Our results can be integrated into existing classification systems and provide an accurate and predictable tool for data mining.
openaire   +1 more source

Performance of Automated Image Classification

SSRN Electronic Journal, 2022
Keno Tetzlaff   +2 more
openaire   +1 more source

Performance Analysis of Classification Algorithms

2023
A. Prakash, Vijender Kumar Solanki
openaire   +1 more source

New approach to cancer therapy based on a molecularly defined cancer classification

Ca-A Cancer Journal for Clinicians, 2014
Javier Cortes   +2 more
exaly  

Soft Tissue Tumors: Classification and Principles of Management

Ca-A Cancer Journal for Clinicians, 1968
Tapas K. Das Gupta
exaly  

Performance Analysis of Classification Algorithms

2014
Payal Pahwa   +2 more
openaire   +1 more source

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