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119
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DMIN
2006
125views Data Mining» more  DMIN 2006»
15 years 2 months ago
Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
Jianjie Ma, Krishnamoorthy Sivakumar
81
Voted
ATAL
2003
Springer
15 years 5 months ago
Automated derivation of behavior vocabularies for autonomous humanoid motion
In this paper we address the problem of automatically deriving vocabularies of motion modules from human motion data, taking advantage of the underlying spatio-temporal structure ...
Odest Chadwicke Jenkins, Maja J. Mataric
BIBE
2008
IEEE
111views Bioinformatics» more  BIBE 2008»
15 years 2 months ago
Structure learning for biomolecular pathways containing cycles
Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint...
S. Itani, Karen Sachs, Garry P. Nolan, M. A. Dahle...
101
Voted
ICCV
1999
IEEE
16 years 2 months ago
Manhattan World: Compass Direction from a Single Image by Bayesian Inference
When designing computer vision systems for the blind and visually impaired it is important to determine the orientation of the user relative to the scene. We observe that most ind...
James M. Coughlan, Alan L. Yuille
110
Voted
IJAR
2007
130views more  IJAR 2007»
15 years 17 days ago
Bayesian network learning algorithms using structural restrictions
The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
Luis M. de Campos, Javier Gomez Castellano