
Journals in DBLP
 Pat Langley, Gregory M. Provan, Padhraic Smyth
Learning with Probabilistic Representations. [Citation Graph (0, 0)][DBLP] Machine Learning, 1997, v:29, n:23, pp:91101 [Journal]
 Pedro Domingos, Michael J. Pazzani
On the Optimality of the Simple Bayesian Classifier under ZeroOne Loss. [Citation Graph (0, 0)][DBLP] Machine Learning, 1997, v:29, n:23, pp:103130 [Journal]
 Nir Friedman, Dan Geiger, Moisés Goldszmidt
Bayesian Network Classifiers. [Citation Graph (0, 0)][DBLP] Machine Learning, 1997, v:29, n:23, pp:131163 [Journal]
 Sanjoy Dasgupta
The Sample Complexity of Learning FixedStructure Bayesian Networks. [Citation Graph (0, 0)][DBLP] Machine Learning, 1997, v:29, n:23, pp:165180 [Journal]
 David Maxwell Chickering, David Heckerman
Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables. [Citation Graph (0, 0)][DBLP] Machine Learning, 1997, v:29, n:23, pp:181212 [Journal]
 John Binder, Daphne Koller, Stuart J. Russell, Keiji Kanazawa
Adaptive Probabilistic Networks with Hidden Variables. [Citation Graph (0, 0)][DBLP] Machine Learning, 1997, v:29, n:23, pp:213244 [Journal]
 Zoubin Ghahramani, Michael I. Jordan
Factorial Hidden Markov Models. [Citation Graph (0, 0)][DBLP] Machine Learning, 1997, v:29, n:23, pp:245273 [Journal]
 Naoki Abe, Hiroshi Mamitsuka
Predicting Protein Secondary Structure Using Stochastic Tree Grammars. [Citation Graph (0, 0)][DBLP] Machine Learning, 1997, v:29, n:23, pp:275301 [Journal]
