Adjusted probability naive bayesian induction

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

Volumn 1502, Issue , 1998, Pages 285-295

  Webb, Geoffrey I ^a   Pazzani, Michael J ^b  

^a DEAKIN UNIVERSITY   (Australia)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN PROBABILITIES; CLASSIFICATION TASKS; NAIVE BAYESIAN; NAIVE BAYESIAN CLASSIFIER; PREDICTIVE ACCURACY; SIMPLE++;

PROBABILITY;

EID: 84891892150     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0095060     Document Type: Conference Paper

References (10)

1. Clark, P. & Niblett, T. (1989). The CN2 induction algorithm. Machine Learning, 3, 261-284.
2. Domingos, P. & Pazzani, M. (1996). Beyond independence: Conditions for the optimality of the simple Bayesian classifier. In Proceedings of the Thirteenth International Conference on Machine Learning, pp. 105-112, Bari, Italy. Morgan Kaufmann.
3. Duda, R. & Hart, P. (1973). Pattern Classification and Scene Analysis. John Wiley and Sons, New York.
4. Kohavi, R. (1996). Scaling up the accuracy of naive-Bayes classifiers: A decision-tree hybrid. In KDD-96 Portland, Or.
5. Kononenko, I. (1991). Semi-naive Bayesian classifier. In ECAI-91, pp. 206-219.
6. Langley, P. (1993). Induction of recursive Bayesian classifiers. In Proceedings of the 1993 European Conference on Machine Leanring, pp. 153-164, Vienna. Springer-Verlag.
7. Langley, P., Iba, W., & Thompson, K. (1992). An analysis of Bayesian classifiers. In Proceedings of the Tenth National Conference on Artificial Intelligence, pp. 223-228, San Jose, CA. AAAI Press.
8. Langley, P. & Sage, S. (1994). Induction of selective Bayesian classifiers. In Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence, pp. 399-406, Seattle, WA. Morgan Kaufmann.
9. Merz, C. J. & Murphy, P. M. (1998) UCI Repository of Machine Learning Databases. [Machine-readable data repository]. University of California, Department of Information and Computer Science, Irvine, CA.
10. Pazzani, M. J. (1996). Constructive induction of Cartesian product attributes. In ISIS: Information, Statistics and Induction in Science, pp. 66-77, Melbourne, Aust. World Scientific.