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» Bayesian Information Extraction Network
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IDEAL
2000
Springer
15 years 7 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
133
Voted
DMIN
2009
222views Data Mining» more  DMIN 2009»
15 years 1 months ago
P-Sensitive K-Anonymity for Social Networks
-- The proliferation of social networks, where individuals share private information, has caused, in the last few years, a growth in the volume of sensitive data being stored in th...
Roy Ford, Traian Marius Truta, Alina Campan
133
Voted
WSNA
2003
ACM
15 years 8 months ago
Information-directed routing in ad hoc sensor networks
—In a sensor network, data routing is tightly coupled to the needs of a sensing task, and hence the application semantics. This paper introduces the novel idea of information-dir...
Juan Liu, Feng Zhao, Dragan Petrovic
112
Voted
ICPR
2006
IEEE
16 years 4 months ago
Sociometry Based Multiparty Audio Recordings Summarization
This paper shows how Social Network Analysis, the study of relational data in specific social environments, can be used to summarize multiparty radio news recordings. A social net...
Alessandro Vinciarelli
118
Voted
HIS
2004
15 years 4 months ago
Q'tron Neural Networks for Constraint Satisfaction
This paper proposes the methods to solve the constraint satisfaction problems (CSPs) using Q'tron neural networks (NNs). A Q'tron NN is local-minima free if it is built ...
Tai-Wen Yue, Mei-Ching Chen