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DMIN
2006
125views Data Mining» more  DMIN 2006»
14 years 11 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
ICCV
2009
IEEE
16 years 2 months ago
Modelling Activity Global Temporal Dependencies using Time Delayed Probabilistic Graphical Model
We present a novel approach for detecting global behaviour anomalies in multiple disjoint cameras by learning time delayed dependencies between activities cross camera views. Sp...
Chen Change Loy, Tao Xiang and Shaogang Gong
CIKM
2009
Springer
15 years 4 months ago
P-Rank: a comprehensive structural similarity measure over information networks
With the ubiquity of information networks and their broad applications, the issue of similarity computation between entities of an information network arises and draws extensive r...
Peixiang Zhao, Jiawei Han, Yizhou Sun
ICASSP
2010
IEEE
14 years 9 months ago
Structuring a gene network using a multiresolution independence test
In order to structure a gene network, a score-based approach is often used. A score-based approach, however, is problematic because by assuming a probability distribution, one is ...
Takayuki Yamamoto, Tetsuya Takiguchi, Yasuo Ariki
UAI
1997
14 years 11 months ago
A Bayesian Approach to Learning Bayesian Networks with Local Structure
Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...
David Maxwell Chickering, David Heckerman, Christo...