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» Model Selection and Error Estimation
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126
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CCECE
2006
IEEE
15 years 8 months ago
Software Defect Content Estimation: A Bayesian Approach
Software inspection is a method to detect errors in software artefacts early in the development cycle. At the end of the inspection process the inspectors need to make a decision ...
Achin Jain, Alok R. Patnaik, Pulak Dhar, Vineet Sr...
115
Voted
ISIPTA
2005
IEEE
155views Mathematics» more  ISIPTA 2005»
15 years 8 months ago
Estimation of Chaotic Probabilities
A Chaotic Probability model is a usual set of probability measures, M, the totality of which is endowed with an objective, frequentist interpretation as opposed to being viewed as...
Leandro Chaves Rêgo, Terrence L. Fine
93
Voted
WSC
1997
15 years 4 months ago
A New Variance-Reduction Technique for Regenerative Simulations of Markov Chains
We propose a new estimator for some performance measures obtained from a regenerative simulation of a discrete-time Markov chain. Our new estimator is based on the idea of generat...
James M. Calvin, Marvin K. Nakayama
111
Voted
MCS
2002
Springer
15 years 2 months ago
Forward and Backward Selection in Regression Hybrid Network
Abstract. We introduce a Forward Backward and Model Selection algorithm (FBMS) for constructing a hybrid regression network of radial and perceptron hidden units. The algorithm det...
Shimon Cohen, Nathan Intrator
PAMI
2006
159views more  PAMI 2006»
15 years 2 months ago
Consistency Checks for Particle Filters
An "inconsistent" particle filter produces--in a statistical sense--larger estimation errors than predicted by the model on which the filter is based. Two test variables ...
Ferdinand van der Heijden