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» Generating Realistic Large Bayesian Networks by Tiling
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UAI
2003
13 years 7 months ago
Large-Sample Learning of Bayesian Networks is NP-Hard
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...
ICDAR
2003
IEEE
13 years 11 months ago
Generation of Handwritten Characters with Bayesian network based On-line Handwriting Recognizers
In this paper, we propose a new character generation method from on-line handwriting recognizers based on Bayesian networks. On-line handwriting recognizers are trained with handw...
Hyun-Il Choi, Sung-Jung Cho, Jin Hyung Kim
CCS
2009
ACM
13 years 10 months ago
The bayesian traffic analysis of mix networks
This work casts the traffic analysis of anonymity systems, and in particular mix networks, in the context of Bayesian inference. A generative probabilistic model of mix network ar...
Carmela Troncoso, George Danezis
AAAI
2008
13 years 8 months ago
A General Framework for Generating Multivariate Explanations in Bayesian Networks
Many existing explanation methods in Bayesian networks, such as Maximum a Posteriori (MAP) assignment and Most Probable Explanation (MPE), generate complete assignments for target...
Changhe Yuan, Tsai-Ching Lu
BVAI
2007
Springer
14 years 14 days ago
The Bayesian Draughtsman: A Model for Visuomotor Coordination in Drawing
Abstract. In this article we present a model of realistic drawing accounting for visuomotor coordination, namely the strategies adopted to coordinate the processes of eye and hand ...
Ruben Coen Cagli, Paolo Coraggio, Paolo Napoletano...