Displaying 4 results from an estimated 4 matches for "laplacedot".
2008 Jun 25
1
stringdot
...lass~.,data=promotergene,kernel="stringdot",C=10,cross=5) # this give the following error
#Error in match.arg(kernel, c("rbfdot", "polydot", "tanhdot", "vanilladot", :
# 'arg' should be one of ?rbfdot?, ?polydot?, ?tanhdot?, ?vanilladot?, ?laplacedot?, ?besseldot?, ?anovadot?, ?splinedot?, ?matrix?
What am I doing wrong here?
Thanks ../Murli
2011 Dec 08
0
SVM performance using laplace kernel is too slow
...ions takes ~45 seconds on win64 R distribution). CPU is running at 25% and RAM utilization is a mere 17% ... it's not a hardware bottleneck. Similar calculations using data mining algorithms in SQL Server analysis services run about 40x faster.
Through trial and error, we discovered that the laplacedot kernel gives us the best results by a wide margin. Rbfdot is about 15% less accurate, but twice as fast (but still too slow). The best performance is vanilladot. It runs more or less instantly but the accuracy is way too low to use.
We'd ideally like to use the laplacedot kernel but to do so...
2012 Dec 10
0
Time Series Prediction using Gaussian Process
*Hello All,*
I tried figuring out the problem, I was trying to use laplacedot to predict
the long term, which however would not do a good job.
Then, I tried to do a point by point prediction and building the model
again, everytime. It shows me better results. I tried writing my kernel
function (matern covariance function), and attached is the result of that.
Red lines show...
2010 Sep 24
0
kernlab:ksvm:eps-svr: bug?
...64 ...
65 ,subset
66 ,na.action = na.omit)
67 {
...
74 sparse <- FALSE
75
76 if(is.character(kernel)){
77 kernel <- match.arg(kernel,c("rbfdot","polydot","tanhdot","vanilladot","laplacedot","besseldot","anovadot","splinedot","matrix"))
78
79 if(kernel == "matrix")
80 if(dim(x)[1]==dim(x)[2])
81 return(ksvm(as.kernelMatrix(x), y = y, type = type, C = C, nu = nu, epsilon = epsilon, prob.model = p...