search for: vapnik

...is the following: I have a data set of customers data of insurances with variables Class, Group Distance Claim. The file called 'xx.dat'. Using the manuals I think I had entered the data in the program. I used several function, but I never get an output. In fact, I want to use the SVM with Vapnik's loss function for classification for the response variable 'Claim' and discrete explanatory variables Class, Group, Distance whitout modelling interaction terms manually. I want to use epsilon = 0.1, cast penalty constant (C) cost =1, and a Gaussian radial basis function kernel with...

I am currently designing a clustering algorithm in collaboration with one of my colleagues. For comparison purposes we would like to contrast it with the Support Vector Clustering algorithm of (A. Ben-Hur, D. Horn, H.T. Siegelmann, and V. Vapnik. Support vector clustering. Journal of Machine Learning Research, 2:125-137, 2001). This is supposedly the most powerful unsupervised clustering algorithm available. Unfortunately, we cannot find code for it anywhere. We have tried emailing the authors and they cannot find the code either (one...

Hi, I have just installed dovecot and offlineimap on my laptop for syncing with my gmail, and reading in gnus, as outlined in this article: http://sachachua.com/wp/2008/05/08/geek-how-to-use-offlineimap-and-the-dovecot-mail-server-to-read-your-gmail-in-emacs-efficiently/ I am using Debian Etch, and I am the only user. The only change I made to the default dovecot.conf file was to set:

I am using gdb to debug a c++ library I made for R using Rcpp. However, when I step through the code it seems to go all over the place, and some of the variables have been optimized out so I can't see their values. How can I compile without optimization? Also, is there any neat way to run R with gdb through emacs? Thanks.