Displaying 3 results from an estimated 3 matches for "pn_ni_cv_cl_03".
Did you mean:
pn_ni_cv_cl_04
2004 Sep 23
0
nnet and weights: error analysis using V&R example
...Phone: ++41 31 930 93 83
Department of Psychiatric Neurophysiology Mobile: ++41 76 570 28 00
University Hospital of Clinical Psychiatry Fax: ++41 31 930 99 61
Waldau lehmann at puk.unibe.ch
CH-3000 Bern 60 http://www.puk.unibe.ch/cl/pn_ni_cv_cl_03.html
2004 Sep 23
0
nnet with weights parameter: odd error
...Phone: ++41 31 930 93 83
Department of Psychiatric Neurophysiology Mobile: ++41 76 570 28 00
University Hospital of Clinical Psychiatry Fax: ++41 31 930 99 61
Waldau lehmann at puk.unibe.ch
CH-3000 Bern 60 http://www.puk.unibe.ch/cl/pn_ni_cv_cl_03.html
2004 Mar 30
1
classification with nnet: handling unequal class sizes
I hope this question is adequate for this list
I use the nnet code from V&R p. 348: The very nice and general function
CVnn2() to choose the number of hidden units and the amount of weight
decay by an inner cross-validation- with a slight modification to use it
for classification (see below).
My data has 2 classes with unequal size: 45 observations for classI and
116 obs. for classII
With