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2011 Jan 05
0
Nnet and AIC: selection of a parsimonious parameterisation
...136, 141, 144, 146, 147, 148, 149, 150, 151, 152, 154, 156, 157, 158, 159, 160, 161, 163, 166, 167, 169, 170, 173, 174, 175, 176, 177, 183, 184, 187, 188, 189, 194, 195, 196, 197, 198, 199, 202, 204, 205, 206, 208, 209) cpus2 <- cpus[, 2:8] # excludes names, authors? predictions attach(cpus2) cpus3 <- data.frame(syct = syct-2, mmin = mmin-3, mmax = mmax-4, cach=cach/256,chmin=chmin/100, chmax=chmax/100, perf) detach() CVnn.cpus <- function(formula, data = cpus3[cpus.samp, ], maxSize = 10, decayRange = c(0,0.2), nreps = 5, nifold = 10, alpha= 9/10, linout = TRUE, skip = TRUE...