Classification with reject option using the self-organizing map

• Type: Article in International Conference Proceedings Book
• Date: 2014

Authors

Sousa, R (Author) Other; Da Rocha Neto, AR (Author) Other; Jaime S Cardoso (Author) FEUP; Barreto, GA (Author) Other

Conference proceedings International

Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Pages: 105-112

24th International Conference on Artificial Neural Networks, ICANN 2014

Hamburg, 15 September 2014 through 19 September 2014

Indexing

Scopus - 4 Citations

Other information

Authenticus ID: P-009-S13

DOI: 10.1007/978-3-319-11179-7_14

Abstract (EN): Reject option is a technique used to improve classifier's reliability in decision support systems. It consists on withholding the automatic classification of an item, if the decision is considered not sufficiently reliable. The rejected item is then handled by a different classifier or by a human expert. The vast majority of the works on this issue have been concerned with implementing a reject option by endowing a supervised learning scheme (e.g., Multilayer Perceptron, Learning Vector Quantization or Support Vector Machines) with a reject mechanism. In this paper we introduce variants of the Self-Organizing Map (SOM), originally an unsupervised learning scheme, to act as supervised classifiers with reject option, and compare their performances with that of the MLP classifier. © 2014 Springer International Publishing Switzerland.

Language: English

Type (Professor's evaluation): Scientific