Nonlinear Markov Networks for Continuous Variables (1998)

by Reimar Hofmann , Volker Tresp
Citations:23 - 3 self

Active Bibliography

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Probabilistic Graphical Models and Algorithms for Protein Problems – Feng Jiao - 2007
Comparison of Super-Resolution Algorithms Using Image Quality Measures – unknown authors
Irregular-Structure Tree Models for Image Interpretation – Sinisa Todorovic - 2005
Predicting – Stanley Letovsky, Simon Kasif - 2003
Cooperative Optimization for Energy Minimization: A Case Study of Stereo Matching – Xiaofei Huang - 2007
c ○ 2000 Kluwer Academic Publishers. Manufactured in The Netherlands. Learning Low-Level Vision – William T. Freeman, Egon C. Pasztor, Owen T. Carmichael
Bayesian Methods and Markov Random Fields – Mario A. T. Figueiredo - 1998
Just Enough Die-Level Test: Optimizing IC Test via Machine Learning and Decision Theory – Tony Fountain - 1998
Massively Parallel Probabilistic Reasoning with Boltzmann Machines – Petri MyllymÄki, Petri Myllym Äki - 1999
Mixed Markov Fields – Artur Yakovlevich Fridman - 2000
A Comparison of Methods for Reduction of Computational Complexity in Bayesian Networks – Nikola Bogunovic, Tomislav Smuc
Ieee Transactions On Pattern Analysis And Machine Intelligence, Vol. 20, No. 12, December 1998 1319 – Bayesian Function Learning, Paolo Magni, Riccardo Bellazzi, Senior Member - 1991
Informative Features in Vision and Learning – A. Rudra, Davi Geiger, Archisman Rudra, Archisman Rudra - 2002
Nonparametric Belief Propagation Appearance and Facial Estimation – Erik B. Sudderth, Alexander T. Ihler, Er T. Ihler, William T. Freeman, Alan S. Willsky - 2002
An Empirical Study of w-Cutset Sampling for Bayesian Networks – Bozhena Bidyuk University, Bozhena Bidyuk - 2003
Mitsubishi Electric Research Laboratories – Http Www Merl, Ramesh Raskar, Ramesh Raskar, Remo Ziegler, Remo Ziegler, Thomas Willwacher, Thomas Willwacher - 2002
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1 Bayesian Data Analysis for Data Mining – David Madigan, Greg Ridgeway - 2002