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176
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NN
1997
Springer
15 years 11 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
190
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ER
1994
Springer
15 years 10 months ago
1994
Springer
A normal form object-oriented entity relationship (OOER) diagram is presented to address a set of 00 data modelling issues, viz. the inability to judge the quality of an 00 schema,...
169
Voted
SMA
1993
ACM
15 years 10 months ago
1993
ACM
: Parametric design is an important modeling paradigm in computer aided design. Relationships (constraints) between the degrees of freedom (DOFs) of the model, instead of the DOFs ...
183
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ASUNAM
2009
IEEE
15 years 10 months ago
2009
IEEE
In this paper, we present a horizontal view of social influence, more specifically a quantitative study of the influence of neighbours on the probability of a particular node to jo...
168
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CIDM
2007
IEEE
15 years 10 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...