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» Examples of Independence for Imprecise Probabilities
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ECAI
2008
Springer
13 years 9 months ago
Hierarchical explanation of inference in Bayesian networks that represent a population of independent agents
This paper describes a novel method for explaining Bayesian network (BN) inference when the network is modeling a population of conditionally independent agents, each of which is m...
Peter Sutovskú, Gregory F. Cooper
AMAI
2002
Springer
13 years 7 months ago
Nonmonotonicity and Compatibility Relations in Belief Structures
: We concern ourselves with the situation Here we investigate an extension of the basic concept of in which we use the Dempster-Shafer belief structure to a compatibility relation ...
Ronald R. Yager
ICASSP
2011
IEEE
12 years 11 months ago
Improved F0 modeling and generation in voice conversion
F0 is an acoustic feature that varies largely from one speaker to another. F0 is characterized by a discontinuity in the transition between voiced and unvoiced sounds that present...
Aki Kunikoshi, Yao Qian, Frank K. Soong, Nobuaki M...
CSDA
2004
191views more  CSDA 2004»
13 years 7 months ago
Computing the distribution of the product of two continuous random variables
We present an algorithm for computing the probability density function of the product of two independent random variables, along with an implementation of the algorithm in a compu...
Andrew G. Glen, Lawrence Leemis, John H. Drew
AI
2000
Springer
13 years 7 months ago
Credal networks
Credal networks are models that extend Bayesian nets to deal with imprecision in probability, and can actually be regarded as sets of Bayesian nets. Evidence suggests that credal ...
Fabio Gagliardi Cozman