On the Accuracy of Stochastic Complexity Approximations (1997)

by Petri Kontkanen , Petri Myllymäki , Tomi Silander , Henry Tirri
Venue:IN A. GAMMERMAN (ED.), CAUSAL
Citations:3 - 3 self

Active Bibliography

10 Comparing Bayesian Model Class Selection Criteria by Discrete Finite Mixtures – Petri T. Kontkanen, Petri J. Myllymäki, Henry R. Tirri - 1996
10 Predictive Data Mining with Finite Mixtures – Petri Kontkanen, Petri Myllymäki, Henry Tirri - 1996
2 Stochastic Complexity Based Estimation of Missing Elements in Questionnaire Data – Henry Tirri, Tomi Silander - 1998
23 Constructing Bayesian finite mixture models by the EM algorithm – Petri Kontkanen, Petri Myllymäki, Henry Tirri - 1997
3 Easy Computation of Bayes Factors and Normalizing Constants for Mixture Models via Mixture Importance Sampling – Mary J. Emond, Adrian E. Raftery, Russell J. Steele - 2001
9 Computationally efficient methods for selecting among mixtures of graphical models – B. Thiesson, C. Meek, D. M. Chickering, D. Heckerman - 1999
25 Learning mixtures of DAG models – Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman - 1997
178 Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables – David Maxwell Chickering, David Heckerman - 1997
79 A Bayesian Approach to Causal Discovery – David Heckerman, Christopher Meek, Gregory Cooper - 1997
unknown title – Learning Bayesian
8 Bayes Optimal Instance-Based Learning – Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri - 1998
Bayesian Finite Mixtures for Nonlinear Modeling of Educational data – Henry Tirri, Tomi Silander, Kirsi Tirri - 1997
11 Learning hybrid Bayesian networks from data – Stefano Monti, Gregory F. Cooper - 1998
38 On predictive distributions and Bayesian networks – P. Kontkanen, P. Myllymäki, T. SILANDER, H. Tirri, P. Grünwald - 2000
58 A tutorial introduction to the minimum description length principle – Peter Grünwald
MLnet Summer School on Machine Learning and Knowledge Acquisition: LEARNING AND PROBABILITIES – Wray Buntine
564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
Contents – Yoshitaka Kameya - 2008
NBCT: Naive Bayes . . . – Yoshitaka Kameya - 2008