Volume 29, Number 1, October 1997
Volume 29, Numbers 2-3, November 1997
- Pat Langley, Gregory M. Provan, Padhraic Smyth:
Learning with Probabilistic Representations.
91-101

- Pedro Domingos, Michael J. Pazzani:
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss.
103-130

- Nir Friedman, Dan Geiger, Moisés Goldszmidt:
Bayesian Network Classifiers.
131-163

- Sanjoy Dasgupta:
The Sample Complexity of Learning Fixed-Structure Bayesian Networks.
165-180

- David Maxwell Chickering, David Heckerman:
Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables.
181-212

- John Binder, Daphne Koller, Stuart J. Russell, Keiji Kanazawa:
Adaptive Probabilistic Networks with Hidden Variables.
213-244

- Zoubin Ghahramani, Michael I. Jordan:
Factorial Hidden Markov Models.
245-273

- Naoki Abe, Hiroshi Mamitsuka:
Predicting Protein Secondary Structure Using Stochastic Tree Grammars.
275-301

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