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Predicting the required number of training samplesA criterion which measures the quality of the estimate of the covariance matrix of a multivariate normal distribution is developed. Based on this criterion, the necessary number of training samples is predicted. Experimental results which are used as a guide for determining the number of training samples are included.
Document ID
19820020233
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Kalayeh, H. M. (Purdue Univ. West Lafayette, IN, United States)
Landgrebe, D. A. (Purdue Univ. West Lafayette, IN, United States)
Date Acquired
September 4, 2013
Publication Date
January 1, 1982
Subject Category
Statistics And Probability
Report/Patent Number
NASA-CR-169091
NAS 1.26:169091
LARS-TR-050682
Report Number: NASA-CR-169091
Report Number: NAS 1.26:169091
Report Number: LARS-TR-050682
Accession Number
82N28109
Funding Number(s)
CONTRACT_GRANT: NSG-5414
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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