Kalman Filters, Particle Filters and SVM's

[damien morton]

Heres a filter that will get of nearly 100% of your spam.

if 'not sent only to me' or 'body contains my email address' or 'body
contains "click here"' then delete with prejudice.

BCC is the root of all spam. Servers should reject BCC email. An
efficient implimentation of BCC allows spam at cost O(1). Reject BCC
and the cost becomes O(N).


Johannes Nix <Johannes.Nix at mail.uni-oldenburg.de> wrote in message news:<671ybne7zm.fsf at mail.uni-oldenburg.de>...
> Are there any implementations of Kalman Filters, Particle Filters or
> Support Vector Machines in (Numerical) Python ?
> 
> Especially the latter would be fine, I'm dreaming to implement a SVM
> based script with the capability to distinguish spam from personal
> mails.... but I'm way to lazy to write my own SVM.
> 
> Johannes
> 
> 
> 
> -- 
> --------------------------------------------------
> Johannes Nix
> 
> jnix at medi.physik.uni-oldenburg.de
> 
> AG Medizinische Physik       Fax +441 798-3902
> Universität Oldenburg        Tel +441 798-3270
> 26111 Oldenburg
> --------------------------------------------------