Feature selection by using the FRiS function in the task of generalized classification-Reference-Cited by-同舟云学术

Feature selection by using the FRiS function in the task of generalized classification

Published:2011-06 Issue:2 Volume:21 Page:117-120
ISSN:1054-6618
Container-title:Pattern Recognition and Image Analysis
language:en
Short-container-title:Pattern Recognit. Image Anal.

Author:

Borisova I. A.,Zagoruiko N. G.

Publisher

Pleiades Publishing Ltd

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1134/S1054661811020167.pdf

Reference6 articles.

1. N. G. Zagoruiko, Applied Methods of the Data and Knowledge Analysis (Novosibirsk, 1999) [in Russian].

2. A. Blum and T. Mitchell, “Combining Labeled and Unlabeled Data with Co-Training,” in Proc. of the Workshop on Computational Learning Theory (Morgan Kaufmann, 1998), pp. 92–100.

3. I. A. Borisova, “Calculation of FRiS-Function over Mixed Dastaset in the Task of Generalized Classification,” in Proc. 3rd Int. Conf. on Inductive Modeling (Yevpatoria, 2010), pp. 44–50.

4. I. A. Borisova and N. G. Zaguruiko, “Function of Rival Similarity in Taxonomy Task,” in Proc. Conf. KONT-2007 (Novosibirsk, 2007), Vol. 2, pp. 67–76.

5. I. A. Borisova, V. V. Dyubanov, N. G. Zagoruiko, and O. A. Kutnenko, “Use of FRiS-Function for Decision Rule Construction and Attributes Selection (a Task of Combined Type DX), in Proc. Conf. KONT-2007 (Novosibirsk, 2007), Vol. 1, pp. 37–44.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A robust semi-supervised learning approach via mixture of label information;Pattern Recognition Letters;2015-12

2. Classification measurements: Methods and implementation;Optoelectronics, Instrumentation and Data Processing;2013-03