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IJBIDM
2006
78views more  IJBIDM 2006»
13 years 8 months ago
Appraisal of companies with Bayesian networks
: Appraisal of companies is an important business activity. We mainly apply Bayesian networks for this classification task for Japanese electric company data. Firstly, few standard...
Priyantha Wijayatunga, Shigeru Mase, Masanori Naka...
JAT
2006
66views more  JAT 2006»
13 years 8 months ago
An extrapolation theorem for nonlinear approximation and its applications
We prove an extrapolation theorem for the nonlinear m-term approximation with respect to a system of functions satisfying very mild conditions. This theorem allows us to prove end...
Feng Dai
CORR
2010
Springer
129views Education» more  CORR 2010»
13 years 8 months ago
Estimation in Gaussian Noise: Properties of the Minimum Mean-Square Error
Consider the minimum mean-square error (MMSE) of estimating an arbitrary random variable from its observation contaminated by Gaussian noise. The MMSE can be regarded as a function...
Dongning Guo, Yihong Wu, Shlomo Shamai, Sergio Ver...
ECML
2005
Springer
14 years 2 months ago
A Comparison of Approaches for Learning Probability Trees
Probability trees (or Probability Estimation Trees, PET’s) are decision trees with probability distributions in the leaves. Several alternative approaches for learning probabilit...
Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice...
ICASSP
2011
IEEE
13 years 16 days ago
Empirical divergence maximization for quantizer design: An analysis of approximation error
Empirical divergence maximization is an estimation method similar to empirical risk minimization whereby the Kullback-Leibler divergence is maximized over a class of functions tha...
Michael A. Lexa