Data-dependent kernels in SVM classification of speech patterns

6th International Conference on Spoken Language Processing, ICSLP 2000

Volumn , Issue , 2000, Pages

  Smith, Nathan ^a   Niranjan, Mahesan ^b  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

SPEECH RECOGNITION;

EXPERIMENTAL JUSTIFICATION; KERNEL FUNCTION; PROBABILITY MODELS; STATISTICAL LEARNING THEORY; SUPPORT VECTOR MACHINE (SVMS); SVM CLASSIFICATION; UNLABELED DATA; VARIABLE LENGTH;

SUPPORT VECTOR MACHINES;

EID: 85009080427     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. C. J. C. Burges. A tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery, 2(2):955-974, 1998.
2. P. Clarkson and P. J. Moreno. On the use of Support Vector Machines for phonetic classification. In Proceedings. ICASSP, 1999.
3. N. Cristianini and J. Shawe-Taylor. An Introduction to Support Vector Machines. Cambridge University Press, 2000.
4. T. Jaakkola and D. Haussler. Exploiting generative models in discriminative classifiers. In M. S. Kearns, S. A. Solla, and D. A. Cohn, editors, Advances in Neural Information Processing Systems 11. MIT Press, 1999.
5. N. Smith and M. Niranjan. Data-dependent kernels in SVM classification of speech patterns. Technical Report CUED/F-INFENG/TR.387, Cambridge University Eng. Dept., 2000.