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FLAIRS
2006
15 years 8 months ago
Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning
A major difficulty in building Bayesian network models is the size of conditional probability tables, which grow exponentially in the number of parents. One way of dealing with th...
Adam Zagorecki, Mark Voortman, Marek J. Druzdzel
VAMOS
2007
Springer
16 years 1 months ago
Variability Models Must Not be Invariant!
Variability modeling techniques are used to specify variable aspects of members of a family of related software artifacts. Instances of variability models are then used to effici...
Elmar Jürgens, Markus Pizka
ANLP
1994
80views more  ANLP 1994»
15 years 8 months ago
Improving Language Models by Clustering Training Sentences
Many of the kinds of language model used in speech understanding suffer from imperfect modeling of intra-sentential contextual influences. I argue that this problem can be address...
David M. Carter
WSC
2008
15 years 9 months ago
Applicability of hybrid simulation to different modes of governance in UK healthcare
Healthcare organizations exhibit both detailed and dynamic complexity. Effective and sustainable decisionmaking in healthcare requires tools that can comprehend this complexity. D...
Kirandeep Chahal, Tillal Eldabi
ENGL
2006
80views more  ENGL 2006»
15 years 7 months ago
Modelling, simulation and proportional integral control of a pneumatic motor
Researchers have shown a considerable amount of interest in the control of pneumatic drives over the past decade, for two main reasons, firstly, the response of the system is very ...
R. Marumo, M. O. Tokhi