Next: About this document ...
Up: SNoW User Manual
Previous: Glossary of Terms
Contents
- Agarwal and Roth, 2002
-
Agarwal, S. and Roth, D. (2002).
Learning a sparse representation for object detection.
In ECCV-2002, The Proceedings of the 8th European Conference on
Computer Vision, pages 113-128.
- Blum, 1992
-
Blum, A. (1992).
Learning boolean functions in an infinite attribute space.
Machine Learning, 9(4):373-386.
- Carlson et al., 2001
-
Carlson, A. J., Rosen, J., and Roth, D. (2001).
Scaling up context sensitive text correction.
In Proceedings of the National Conference on Innovative
Applications of Artificial Intelligence, pages 45-50.
- Chuang and Roth, 2001
-
Chuang, J. and Roth, D. (2001).
Gene recognition based on dag shortest paths.
Bioinformatics, 17(1):S56-S64.
- Dagan et al., 1997
-
Dagan, I., Karov, Y., and Roth, D. (1997).
Mistake-driven learning in text categorization.
In EMNLP-97, The Second Conference on Empirical Methods in
Natural Language Processing, pages 55-63.
- Even-Zohar and Roth, 2000
-
Even-Zohar, Y. and Roth, D. (2000).
A classification approach to word prediction.
In NAACL-2000, The 1st North American Conference on
Computational Linguistics, pages 124-131.
- Even-Zohar and Roth, 2001
-
Even-Zohar, Y. and Roth, D. (2001).
A sequential model for multi class classification.
In EMNLP-2001, the SIGDAT Conference on Empirical Methods in
Natural Language Processing, pages 10-19.
- Golding and Roth, 1999
-
Golding, A. R. and Roth, D. (1999).
A Winnow based approach to context-sensitive spelling correction.
Machine Learning, 34(1-3):107-130.
- Grove and Roth, 1998
-
Grove, A. and Roth, D. (1998).
Linear concepts and hidden variables: An empirical study.
In NIPS-10, The 1997 Conference on Advances in Neural
Information Processing Systems, pages 500-506. MIT Press.
- Har-Peled et al., 2002
-
Har-Peled, S., Roth, D., and Zimak, D. (2002).
Constraint classification for multiclass classification and ranking.
In NIPS-15; The 2001 Conference on Advances in Neural
Information Processing Systems. MIT Press.
- Helmbold and Warmuth, 1995
-
Helmbold, D. and Warmuth, M. K. (1995).
On weak learning.
Journal of Computer and System Sciences, 50(3):551-573.
- Kivinen and Warmuth, 1997
-
Kivinen, J. and Warmuth, M. K. (1997).
Exponentiated gradient versus gradient descent for linear predictors.
Information and Computation, 132(1):1-63.
- Li and Roth, 2002
-
Li, X. and Roth, D. (2002).
Learning question classifiers.
In COLING 2002, The 19th International Conference on
Computational Linguistics, pages 556-562.
- Li et al., 2002
-
Li, Y., Zaragoza, H., Herbrich, R., Shawe-Taylor, J., and Kandola, J. S.
(2002).
The perceptron algorithm with uneven margins.
In Proc. of the International Conference on Machine Learning,
pages 379-386.
- Littlestone, 1988
-
Littlestone, N. (1988).
Learning quickly when irrelevant attributes abound: A new
linear-threshold algorithm.
Machine Learning, 2:285-318.
- Littlestone, 1991
-
Littlestone, N. (1991).
Redundant noisy attributes, attribute errors, and linear threshold
learning using Winnow.
In Proc. 4th Annu. Workshop on Comput. Learning Theory, pages
147-156, San Mateo, CA. Morgan Kaufmann.
- Mitchell, 1997
-
Mitchell, T. M. (1997).
Machine Learning, chapter IV, Artificial Neural Networks,
pages 81-127.
WCB/McGraw-Hill, New York, New York.
- Munoz et al., 1999
-
Munoz, M., Punyakanok, V., Roth, D., and Zimak, D. (1999).
A learning approach to shallow parsing.
In EMNLP-VLC'99, the Joint SIGDAT Conference on Empirical
Methods in Natural Language Processing and Very Large Corpora, pages
168-178.
- Punyakanok and Roth, 2001
-
Punyakanok, V. and Roth, D. (2001).
The use of classifiers in sequential inference.
In NIPS-13; The 2000 Conference on Advances in Neural
Information Processing Systems, pages 995-1001. MIT Press.
- Roth, 1998
-
Roth, D. (1998).
Learning to resolve natural language ambiguities: A unified
approach.
In Proc. of the American Association of Artificial
Intelligence, pages 806-813.
- Roth, 1999
-
Roth, D. (1999).
Learning in natural language.
In Proc. of the International Joint Conference of Artificial
Intelligence, pages 898-904.
- Roth et al., 2000
-
Roth, D., Yang, M.-H., and Ahuja, N. (2000).
A SNoW-based face detector.
In NIPS-12.
To Appear.
- Roth and Zelenko, 1998
-
Roth, D. and Zelenko, D. (1998).
Part of speech tagging using a network of linear separators.
In COLING-ACL 98, The 17th International Conference on
Computational Linguistics, pages 1136-1142.
- Shen and Joshi, 2003
-
Shen, L. and Joshi, A. K. (2003).
A SNoW based supertagger with application to NP chunking.
In Hinrichs, E. and Roth, D., editors, Proceedings of the 41st
Annual Meeting of the Association for Computational Linguistics, pages
505-512.
- Valiant, 1984
-
Valiant, L. G. (1984).
A theory of the learnable.
Communications of the ACM, 27(11):1134-1142.
- Yang et al., 2000
-
Yang, M.-H., Roth, D., and Ahuja, N. (2000).
View-based 3d object recognition using SNoW.
In ACCV-2000, The Proceedings of the Fourth Asian Conference on
Computer Vision, volume 2, pages 830-835.
Cognitive Computations
2004-08-20