Stochastic Complexity Based Estimation of Missing Elements in Questionnaire Data (1998)

Cached

Download Links

by Henry Tirri , Tomi Silander
Venue:in Questionnaire Data”. the Annual American Educational Research Association Meeting, SIG Educational Statisticians
Citations:2 - 0 self

Active Bibliography

393 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
33 On predictive distributions and Bayesian networks – P. Kontkanen, P. Myllymäki, T. SILANDER, H. Tirri, P. Grünwald - 2000
3 On the Accuracy of Stochastic Complexity Approximations – Petri Kontkanen, Petri Myllymaki, Tomi Sil, Henry Tirri
18 Constructing Bayesian finite mixture models by the EM algorithm – Petri Kontkanen, Petri Myllymäki, Henry Tirri - 1997
MLnet Summer School on Machine Learning and Knowledge Acquisition: LEARNING AND PROBABILITIES – Wray Buntine
7 Prior Information and Generalized Questions – Jörg C. Lemm - 1996
27 Learning Probabilistic Networks – Paul J Krause - 1998
214 Operations for Learning with Graphical Models – Wray L. Buntine - 1994
Mitsubishi Electric Research Laboratories – Http Www Merl, Ramesh Raskar, Ramesh Raskar, Remo Ziegler, Remo Ziegler, Thomas Willwacher, Thomas Willwacher - 2002
Bioinformatics – Vol No Pages - 2003
8 Bayes Optimal Instance-Based Learning – Petri Kontkanen, Petri Myllymaki, Tomi Sil, Henry Tirri - 1998
Bayesian Finite Mixtures for Nonlinear Modeling of Educational data – Henry Tirri, Tomi Silander, Kirsi Tirri - 1997
10 Predictive Data Mining with Finite Mixtures – Petri Kontkanen, Petri Myllymäki, Henry Tirri - 1996
On the Small Sample Size Behavior of Bayesian and Information-Theoretic Approaches for Predictive Inference – Petri Kontkanen, PETRI Myllymäki, TOMI SILANDER, Henry Tirri, Peter Grünwald
16 Minimum Encoding Approaches for Predictive Modeling – Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirr - 1998
8 Learning Bayes net structure from sparse data sets – Kevin P. Murphy - 2001
16 On supervised selection of Bayesian networks – Petri Kontkanen, Petri Myllymaki, Tomi Silander, Henry Tirri - 1999
710 A tutorial on learning with Bayesian networks – David Heckerman - 1995
7 Population Markov Chain Monte Carlo – Kathryn Blackmond Laskey, James Myers - 2003