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BIBM
2010
IEEE
157views Bioinformatics» more  BIBM 2010»
13 years 3 months ago
Decomposing PPI networks for complex discovery
Abstract--Protein complexes are important for understanding principles of cellular organization and functions. With the availability of large amounts of high-throughput proteinprot...
Guimei Liu, Chern Han Yong, Limsoon Wong, Hon Nian...
FLAIRS
2006
13 years 6 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
CORR
2002
Springer
106views Education» more  CORR 2002»
13 years 5 months ago
On model selection and the disability of neural networks to decompose tasks
A neural network with fixed topology can be regarded as a parametrization of functions, which decides on the correlations between functional variations when parameters are adapted...
Marc Toussaint