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UAI
2004
14 years 11 months ago
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Peter Hooper
JEA
2006
90views more  JEA 2006»
14 years 9 months ago
Heuristics for estimating contact area of supports in layered manufacturing
Layered Manufacturing is a technology that allows physical prototypes of three-dimensional models to be built directly from their digital representation, as a stack of two-dimensi...
Ivaylo Ilinkin, Ravi Janardan, Michiel H. M. Smid,...
TOC
2008
122views more  TOC 2008»
14 years 9 months ago
Derandomizing the Ahlswede-Winter matrix-valued Chernoff bound using pessimistic estimators, and applications
: Ahlswede and Winter [IEEE Trans. Inf. Th. 2002] introduced a Chernoff bound for matrix-valued random variables, which is a non-trivial generalization of the usual Chernoff bound ...
Avi Wigderson, David Xiao
NN
1998
Springer
14 years 9 months ago
Statistical estimation of the number of hidden units for feedforward neural networks
The number of required hidden units is statistically estimated for feedforward neural networks that are constructed by adding hidden units one by one. The output error decreases w...
Osamu Fujita
TIT
2010
170views Education» more  TIT 2010»
14 years 4 months ago
Belief propagation estimation of protein and domain interactions using the sum-product algorithm
We present a novel framework to estimate protein-protein (PPI) and domain-domain (DDI) interactions based on a belief propagation estimation method that efficiently computes inter...
Faruck Morcos, Marcin Sikora, Mark S. Alber, Dale ...