A generative/discriminative hybrid model: Bayes perceptron classifier

Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007

Volumn 5, Issue , 2007, Pages 2767-2772

  Liu, Jie ^a   Song, Jiu Qing ^a   Huang, Ya Lou ^a  

^a NANKAI UNIVERSITY   (China)

Author keywords

Discriminative model; Generative model; Multiple class perceptron; Na ve bayes; Text classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); NEURAL NETWORKS; ROBUSTNESS (CONTROL SYSTEMS); VECTORS;

DISCRIMINATIVE MODEL; GENERATIVE MODEL; MULTIPLE-CLASS PERCEPTRON; TEXT CLASSIFICATION;

MATHEMATICAL MODELS;

EID: 38049080642     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2007.4370618     Document Type: Conference Paper

References (13)

1. R. Raina, Y. Shen, A. Y. Ng, and A. McCallum. Classification with Hybrid Generative/Discriminative Models. In Advances in Neural Information Processing Systems, 2004
2. Adrew Y. Ng and Michael I. Jordan. On discriminative vs. generative classifiers: a comparison of logistic regression and naïve bayes. In NIPS 14, 2001.
3. Blum A. and Michell, T. Combining labeled and unlabeled and unlabeled with Co-Training. In Conference on Computational Learning Theory, 1998..
4. V. N. Varpnik. Statistical Learning Theory. John Wiley & Sons, 1998.
5. John Lafferty Kamal Nigam and Andrew McCallum. Using maximum entropy for text classification. In IJCAI-99 Workshop on Machine Learning for Information Filtering, 1999.
6. T. Jaakkola and D. Haussler. Exploiting generative models in discriminative classifiers. In Advances in Neural Information Processing System 11, 1998.
7. Ratnaparkhi, A. A maximum entropy part-of-speech tagger. In proceedings of the empirical methods in natural language processing conference, 1996.
8. Freund, Y. and Schapire, R. Large Margin Classification using the Perceptron Algorithm. In Machine Learning, 1999.
9. Rosenblatt, F. The Perceptron: A probabilistic Model for Information Storage and Organization in the Brain. Psychological Review, 1958, 65. 386-408.
10. th ACM International Conference on Research and Development in Information Retrieval, 2003.
11. th ACM International Conference on Research and Development in Information Retrieval, 1994.
12. Michael Collins, Discriminative Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms Conference on Empirical Methods in Natural Language Processing, 2002.
13. Bianca Zadrozny and Charles Elkan. Obtaining calibrated probability estimates from decision trees and naïve Bayesian classifiers. In ICML '01, 2001.