文件名称:test
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function mean = ml_mean(data)
Calculate the maximum likelihood estimation of the mean
Written by Christiaan M. van der Walt
Meraka Institute
More resources available at http://www.patternrecognition.co.za
Reference:
C.M. van der Walt and E. Barnard,“Data characteristics that determine classifier perfromance”, in Proceedings
of the Sixteenth Annual Symposium of the Pattern Recognition Association of South Africa, pp.160-165, 2006.
Available [Online] http://www.patternrecognition.co.za-function mean = ml_mean(data)
Calculate the maximum likelihood estimation of the mean
Written by Christiaan M. van der Walt
Meraka Institute
More resources available at http://www.patternrecognition.co.za
Reference:
C.M. van der Walt and E. Barnard,“Data characteristics that determine classifier perfromance”, in Proceedings
of the Sixteenth Annual Symposium of the Pattern Recognition Association of South Africa, pp.160-165, 2006.
Available [Online] http://www.patternrecognition.co.za
Calculate the maximum likelihood estimation of the mean
Written by Christiaan M. van der Walt
Meraka Institute
More resources available at http://www.patternrecognition.co.za
Reference:
C.M. van der Walt and E. Barnard,“Data characteristics that determine classifier perfromance”, in Proceedings
of the Sixteenth Annual Symposium of the Pattern Recognition Association of South Africa, pp.160-165, 2006.
Available [Online] http://www.patternrecognition.co.za-function mean = ml_mean(data)
Calculate the maximum likelihood estimation of the mean
Written by Christiaan M. van der Walt
Meraka Institute
More resources available at http://www.patternrecognition.co.za
Reference:
C.M. van der Walt and E. Barnard,“Data characteristics that determine classifier perfromance”, in Proceedings
of the Sixteenth Annual Symposium of the Pattern Recognition Association of South Africa, pp.160-165, 2006.
Available [Online] http://www.patternrecognition.co.za
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下载文件列表
test/get_clmeans.m
test/get_clvar.m
test/iris.txt
test/iyon.txt
test/ml_cov.m
test/ml_mean.m
test/mvgauss.m
test/nbclassifier.asv
test/nbclassifier.m
test/get_clvar.m
test/iris.txt
test/iyon.txt
test/ml_cov.m
test/ml_mean.m
test/mvgauss.m
test/nbclassifier.asv
test/nbclassifier.m
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