Oblique decision trees using embedded support vector machines in classifier ensembles

2008 7th IEEE International Conference on Cybernetic Intelligent Systems, CIS 2008

Volumn , Issue , 2008, Pages

  Menkovski, Vlado ^a   Christou, Ioannis T ^a   Efremidis, Sofoklis ^b  

^a ATHENS INFORMATION TECHNOLOGY   (Greece)

^b INTRACOM SA Telecom Solutions   (Greece)

Author keywords

Classification; Decision Trees; On line Learning; Supervised Learning

Indexed keywords

BASE CLASSIFIERS; CLASSIFICATION; CLASSIFIER ENSEMBLES; CROSS VALIDATIONS; DEPENDABLE COMPUTING; ENSEMBLE ALGORITHMS; ENSEMBLE OF CLASSIFIERS; HEURISTIC TECHNIQUES; HYBRID CLASSIFIERS; OBLIQUE DECISION TREES; ON-LINE LEARNING; RESEARCH AREAS; SELF-HEALING; SUPPORT VECTORS; SYSTEM CONFIGURATIONS; TECHNOLOGY-BASED; TREE CONSTRUCTIONS; TREE NODES; UCI MACHINE LEARNING REPOSITORIES;

CLASSIFIERS; COMPUTER VISION; DECISION TREES; EDUCATION; HEURISTIC METHODS; IMAGE RETRIEVAL; INTELLIGENT CONTROL; INTELLIGENT SYSTEMS; LEARNING ALGORITHMS; MULTILAYER NEURAL NETWORKS; ONLINE SYSTEMS; SUPERVISED LEARNING; SUPPORT VECTOR MACHINES;

PATTERN RECOGNITION SYSTEMS;

EID: 64949166023     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/UKRICIS.2008.4798937     Document Type: Conference Paper

References (14)

1. Quinlan, J.R. C4.5 Programs for Machine Learning. Morgan Kaufmann, 1993.
2. Weka Project home page, http://www.cs.waikato.ac.nz/ml/weka/.
3. Quinlan, J. R. Learning efficient classification procedures and their application to chess endgames. In Machine Learning: An AI approach, R. Michalski, C. J., and T. Mitchell, Eds. Morgan Kaufmann., Los Altos, CA, 1983.
4. Chistou I.T., Efremidis S. An Evolving Oblique Decision Tree Ensemble Architecture for Continuous Learning Applications. IFIP International Federation for Information Processing. Volume 247/2007, pp. 3-11. Springer Verlag, 2007.
5. Rissanen, J. A Universal Prior for Integers and Estimation by Minimum Description Length. Journal Information for The Annals of Statistics. Vol. 11, No. 2, Jun., 1983.
6. Kuncheva, Ludmila I. Combining Pattern Classifiers: Methods and Algorithms. John Wiley 2004.
7. Quinlan, J.R. Simplifying decision trees. International Journal of Man- Machine Studies, 27(3):221-248, 1987.
8. Schapire, Yoav Freund, and Robert E. A decision-theoretic generalization of on-line learning and an application to boosting. European Conference on Computational Learning Theory. 1995.
9. th International Conference on Machine Learning, 2000. 727-734.
10. Warmuth, Littlestone, N., and Manfred K. The Weighted Majority Algorithm. IEEE Symposium on Foundations of Computer Science. 1992.
11. Murthy, Kasif, Salzberg. A System for Induction of Oblique Decision Trees. Journal of Artificial Intelligence Research 2 (1994) 1-32
12. Rudy Setiono and Huan Liu. A Connectionist Approach to Generation Oblique Decision Trees. IEEE Transaction on Systems, Man, and Cybernetics - Part B: Cybernetics, Vol. 29, No. 3, June 1999
13. Erick Cantú-Paz, Chandrika Kamath, Inducing Oblique Decision Trees With Evolutionary Algorithms. IEEE Transaction on Evolutionary Computation, Vol. 7, No. 1, February 2003.
14. th International Conferece on Machine Learning (ICML '96).