Russek, E., Kronmal, R. A., & Fisher, L. D. (1983). The effect of assuming independence in applying Bayes' theorem to risk estimation and classification in diagnosis. Computers and Biomedical Research, 16, 537--552. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
On the Optimality of the Simple Bayesian Classifier under.. - Pazzani (1997) (107 citations) (Correct)
....Bayesian classifier up to the crossover point. Other authors have verified by Monte Carlo simulation that choosing a simple method of discrimination is often beneficial even if the underlying model assumptions are wrong (Flury, Schmid, Narayanan (1994) for quadratic discriminant functions; Russek, Kronmal, Fisher (1983) for the Bayesian classifier vs. multivariate Gaussian models) In general, the amount of structure that can be induced for a domain will be limited by both the available sample and the learner s representational power. When the sample is the dominant limiting factor, a simple learner like the ....
Russek, E., Kronmal, R. A., & Fisher, L. D. (1983). The effect of assuming independence in applying Bayes' theorem to risk estimation and classification in diagnosis. Computers and Biomedical Research, 16, 537--552.
On the Optimality of the Simple Bayesian Classifier under.. - Domingos, Pazzani (1997) (107 citations) (Correct)
....the Bayesian classifier up to the crossover point. Other authors have verified by Monte Carlo simulation that choosing a simple method of discrimination is often beneficial even if the underlying model assumptions are wrong (Flury, Schmid, Narayanan (1994) for quadratic discriminant functions; Russek, Kronmal, Fisher (1983) for the Bayesian classifier vs. multivariate Gaussian models) In general, the amount of structure that can be induced for a domain will be limited by both the available sample and the learner s representational power. When the sample is the dominant limiting factor, a simple learner like the ....
Russek, E., Kronmal, R. A., & Fisher, L. D. (1983). The effect of assuming independence in applying Bayes' theorem to risk estimation and classification in diagnosis. Computers and Biomedical Research, 16, 537--552.
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