Distribution kernels based on moments of counts

Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004

Volumn , Issue , 2004, Pages 193-200

  Cortes, Corinna ^a   Mohri, Mehryar ^b  

^a GOOGLE INC   (United States)

^b AT AND T LABS RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL BIOLOGY; ERROR RATE; KERNELS; SUPPORT VECTOR MACHINES (SVM);

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL METHODS; ERROR ANALYSIS; LARGE SCALE SYSTEMS; LEARNING SYSTEMS; LIBRARIES; SPEECH PROCESSING; SPEECH RECOGNITION; TRANSDUCERS;

AUTOMATA THEORY;

EID: 14344261324     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Allauzen, C., Mohri, M., & Roark, B. (2003). General-Purpose Grammar Library - GRM Library. http://www.research.att.com/sw/tools/grm, AT&T Labs - Research.
2. Boser, B. E., Guyon, I., & Vapnik, V. N. (1992). A training algorithm for optimal margin classifiers. Proceedings of the Fifth Annual Workshop of Computational Learning Theory (pp. 144-152). Pittsburg: ACM.
3. Cortes, C., Haffner, P., & Mohri, M. (2003a). Positive Definite Rational Kernels. Proceedings of The 16th Annual Conference on Computational Learning Theory (COLT 2003) (pp. 41-56). Washington D.C.: Springer, Heidelberg, Germany.
4. Cortes, C., Haffner, P., & Mohri, M. (2003b). Rational Kernels. Advances in Neural Information Processing Systems (NIPS 2002). Vancouver, Canada: MIT Press.
5. Cortes, C., Haffner, P., & Mohri, M. (2003c). Weighted Automata Kernels - General Framework and Algorithms. Proceedings of the 9th European Conference on Speech Communication and Technology (Eurospeech '03), Special Session Advanced Machine Learning Algorithms for Speech and Language Processing. Geneva, Switzerland.
6. Cortes, C., & Vapnik, V. N. (1995). Support-Vector Networks. Machine Learning, 20, 273-297.
7. Mohri, M. (1997). Finite-state transducers in language and speech processing. Computational Linguistics, 23:2.
8. Mohri, M., Pereira, F. C. N., & Riley, M. (1996). Weighted automata in text and speech processing. ECAI-96 Workshop, Budapest, Hungary. ECAI.
9. Mohri, M., Pereira, F. C. N., & Riley, M. (2000). The Design Principles of a Weighted Finite-State Transducer Library. Theoretical Computer Science, 231, 17-32. http://www.research.att.com/sw/tools/fsm.
10. Pereira, F. C. N., & Riley, M. D. (1997). Speech recognition by composition of weighted finite automata. In E. Roche and Y. Schabes (Eds.), Finite-state language processing, 431-453. Cambridge, Massachusetts: MIT Press.
11. Schölkopf, B., & Smola, A. (2002). Learning with kernels. MIT Press: Cambridge, MA.
12. Schützenberger, M. P. (1961). On the definition of a family of automata. Information and Control, 4.
13. van Lint, J. H., & Wilson, R. M. (1992). A Course in Combinatorics. Cambridge University Press.
14. Vapnik, V. N. (1998). Statistical learning theory. John Wiley & Sons.