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» Belief function independence: I. The marginal case
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JSAC
1998
126views more  JSAC 1998»
13 years 7 months ago
Iterative Decoding of Compound Codes by Probability Propagation in Graphical Models
Abstract—We present a unified graphical model framework for describing compound codes and deriving iterative decoding algorithms. After reviewing a variety of graphical models (...
Frank R. Kschischang, Brendan J. Frey
BIRTHDAY
2005
Springer
14 years 1 months ago
Objective Bayesian Nets
I present a formalism that combines two methodologies: objective Bayesianism and Bayesian nets. According to objective Bayesianism, an agent’s degrees of belief (i) ought to sat...
Jon Williamson
NIPS
1994
13 years 8 months ago
Learning Stochastic Perceptrons Under k-Blocking Distributions
We present a statistical method that PAC learns the class of stochastic perceptrons with arbitrary monotonic activation function and weights wi {-1, 0, +1} when the probability d...
Mario Marchand, Saeed Hadjifaradji
CIDM
2009
IEEE
14 years 2 months ago
An empirical study of bagging and boosting ensembles for identifying faulty classes in object-oriented software
—  Identifying faulty classes in object-oriented software is one of the important software quality assurance activities. This paper empirically investigates the application of t...
Hamoud I. Aljamaan, Mahmoud O. Elish
JCT
2000
111views more  JCT 2000»
13 years 7 months ago
Immanants and Finite Point Processes
Givena Hermitian,non-negativede nitekernelK and a character of the symmetric group on n letters, de ne the corresponding immanant function K x1;::: ;xn := P Qn i=1 Kxi;x i, where ...
Persi Diaconis, Steven N. Evans