search for: ifir

Displaying 6 results from an estimated 6 matches for "ifir".

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Begginer with R
2005 Jan 28
2
Begginer with R
Hello all, Im just beggining using R. I have read a couple of introductory documents but they are very general. Is there a document focused on classification? (this is what Ill be using R for). Examples would be just fine. Thanks in advance, Ulises
There exist a FCS package on R-languaje?
2006 Nov 28
1
There exist a FCS package on R-languaje?
...foCor2 program. Thanks Horacio. **************************************************************************** Dr. Horacio Castellini http://ar.geocities.com/horacio9573 Proyecto Din?mica de Sistemas Complejos TE: +54-341-4666051 Usuario Linux Registrado #53602 Emilio: hcaste_at_ifir.ifir.edu.ar jabber: hcaste en jabber.org Msn: horacio9573 en hotmail.com
make tools fail
2013 Mar 15
0
make tools fail
Hello, I am trying to install xen4.2 but when ifire make tools command it gives me, Cloning into ''seabios-dir-remote.tmp''... fatal: unable to connect to xenbits.xen.org: xenbits.xen.org[0: 50.57.170.242]: errno=Connection timed out make[3]: *** [seabios-dir] Error 128 make[3]: Leaving directory `/home/ce/xen-4.2.0/tools/firmware...
make tools fail in xen
2013 Mar 15
0
make tools fail in xen
Hello, I am trying to install xen4.2 but when ifire make tools command it gives me, Cloning into ''seabios-dir-remote.tmp''... fatal: unable to connect to xenbits.xen.org: xenbits.xen.org[0: 50.57.170.242]: errno=Connection timed out make[3]: *** [seabios-dir] Error 128 make[3]: Leaving directory `/home/ce/xen-4.2.0/tools/ firmwar...
(no subject)
2005 Apr 11
0
(no subject)
Hello R-people, I have searched the mailing list messages and the R site (through the web search and google) I didnt find anything related to Particle Swarm Optimization (PSO) for R. Is there a package that implements such algorithm? Thanks in advance, Ulises
Toying with neural networks
2005 Feb 08
1
Toying with neural networks
Hello all, Ive been playing with nnet (package 'nnet') and Ive come across this problem. nnet doesnt seems to like to have more than 1000 weights. If I do: > data(iris) > names(iris)[5] <- "species" > net <- nnet(species ~ ., data=iris, size=124, maxit=10) # weights: 995 initial value 309.342009 iter 10 value 21.668435 final value 21.668435 stopped after 10