Zoomed clusters

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

Volumn 4233 LNCS - II, Issue , 2006, Pages 824-830

  Lassez, Jean Louis ^a   Karadeniz, Tayfun ^a   Mukkamala, Srinivas ^b  

^a Department of Public Health   (United States)

^b NEW MEXICO INSTITUTE OF MINING AND TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONTROL NONLINEARITIES; DATA REDUCTION; DATABASE SYSTEMS; VECTORS;

CLUSTERS; DATA SETS; GRANULARITY;

FUNCTIONS;

EID: 33750691647     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11893257_91     Document Type: Conference Paper

References (10)

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2. Burges,C. (1998) A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery, 2(2), 121-167.
3. Cristianini,N. and Shawe-Taylor,J. (2000) An Introduction to Support Vector Machines, Cambridge University Press. Cambridge.
4. Drucker,H., Wu,D. and Vapnick,V.N. (1999) Support vector machines for spam categorization. IEEE Transactions on Neural Networks, 10(5), 1048-1054.
5. Dumais,S.T., Platt,J., Heckerman,D. and Sahami,M. (1998). Inductive Learning Algorithms and Representations for Text Categorization, Proceedings of ACM-CIKM98, 148-155.
6. Guyon.I. http://www.clopinet.com/isabelle.
7. Kleinberg J., Authoritative Sources in a Hyperlinked Environment Journal of the ACM 46 (1999)
8. Thorsten J. http://ais.gmd.de/~thorsten/svm_light.
9. Thorsten J. (1998) Text Categorization with Support Vector Machine Learning With Many Relevant Features. European Conference on Machine Learning.
10. Vapnik,V.N. (1998) Statistical Learning Theory. John Wiley & Sons.