Improving stability of feature selection methods

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

Volumn 4673 LNCS, Issue , 2007, Pages 929-936

  Křížek, Pavel ^a   Kittler, Josef ^b   Hlaváč, Václav ^a  

^a CZECH TECHNICAL UNIVERSITY IN PRAGUE   (Czech Republic)

^b UNIVERSITY OF SURREY   (United Kingdom)

Author keywords

Entropy; Feature selection; Stability

Indexed keywords

ENTROPY; FUNCTIONAL ANALYSIS; PROBABILITY DISTRIBUTIONS;

ESTIMATION TECHNIQUES; FUNCTIONAL VALUES;

FEATURE EXTRACTION;

EID: 38149009608     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74272-2_115     Document Type: Conference Paper

References (12)

1. Devijver, P.A., Kittler, J.: Pattern Recognition: A Statistical Approach. Prentice Hall, Englewood Cliffs (1982)
2. Dunne, K., Cunningham, P., Azuaje, F.: Solutions to instability problems with sequential wrapper-based approaches to feature selection. Technical Report TCD-CD-2002-28, Dept. of Computer Science, Trinity College, Dublin, Ireland (2002)
3. Efron, B., Tibshirani, R.: Estimating the error rate of a prediction rule: Improvement on cross-validation. Technical Report TR-477, Dept. of Statistics, Stanford University (1995)
4. Hamming, R.W.: Error detecting and error correcting codes. Bell System Technical Journal 26(2), 147-160 (1950)
5. Jain, A., Zongker, D.: Feature selection: Evaluation, application and small sample performance. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(2), 153-158 (1997)
6. Kalousis, A., Prados, J., Hilario, M.: Stability of feature selection algorithms. Proceedings of the 5th IEEE International Conference on Data Mining, Houston, Texas, pp. 218-225. IEEE Computer Society, Los Alamitos (2005)
7. Kirra, K., Rendell, L.A.: The feature selection problem: Traditional methods and a new algorithm. In: Proceedings of the 10th National Conference on Artificial Intelligence, San Jose, CA, pp. 129-134. MIT Press, Cambridge, MA (1992)
8. Kohavi, R.: A study of cross-validation and bootstrap for accuracy estimation and model selection. In: Proceedings of the Joint Conference on Artificial Intelligence, pp. 1137-1145. Morgan Kaufmann, Montreal, Canada, San Mateo, CA (1995)
9. Kohavi, R., John, G.H.: Wrappers for feature subset selection. Artificial Intelligence 97(1-2), 273-324 (1997)
10. Kuncheva, L.I.: A stability index for feature selection. In: Proceedings of the 25th International Multi-Conference on Artificial Intelligence and Applications, pp. 390-395 (February 2007)
11. Pudil, P., Novovičová, J., Kittler, J.: Floating search methods in feature selection. Pattern Recognition Letters 15, 1119-1125 (1994)
12. Shannon, C.: Mathematical theory of communication. Bell System Technology Journal 27, 379-423, 623-656 (1948)