similar to: Time Series Prediction using Gaussian Process

Hello, I am running a mail benchmark test using smtp-source[1] with VM running postfix on Xen hypervisor. My system configuration is: uname -a -> Linux cadlab 3.1.10-1.19-xen #1 SMP Mon Feb 25 10:32:50 UTC 2013 (f0b13a3) x86_64 x86_64 x86_64 GNU/Linux I am observing a very high disk write usage by xenstored (some 5 Mbps) without even anything running on the VM. Is it normal? During test, I

Hello, I am running a mail benchmark test using smtp-source[1] with VM running postfix on Xen hypervisor. My system configuration is: uname -a -> Linux cadlab 3.1.10-1.19-xen #1 SMP Mon Feb 25 10:32:50 UTC 2013 (f0b13a3) x86_64 x86_64 x86_64 GNU/Linux I am observing a very high disk write usage by xenstored (some 5 Mbps) without even anything running on the VM. Is it normal? During test, I

*Hello,* I have installed Xen as Hypervisor with OpenSUSE running in Dom0. I want to use ovswitch (ovs) instead of the bridges that Xen created. In order to do so, I installed ovs in dom0 just like for the plain Linux. Xen has replaced eth0 with peth0, and has created a bridge named eth0. And eth0 is connected peth0 interface , vif2.0 interface (VM), and everything is working fine. Now I delete

I've created an SVM in R using the kernlab package, however it's running incredibly slow (20,000 predictions 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

Hi!! I am trying to figure out how to use the string kernel "stringdot" in kernlab. k <- function(x,y) { (sum(x*y) +1)*exp(-0.001*sum((x-y)^2)) } class(k) <- "kernel" data(promotergene) ## train svm using custom kernel gene.k <- ksvm(Class~.,data=promotergene,kernel=k,C=10,cross=5) # works fine in this case gene.rbf <-

Here's a new one. It just started with the latest (April 8) CVS version. In index-mail-headers.c, line 622: fields = t_new(struct mail_cache_field, count); count is 0 I'm seeing this with several mailboxes. We're using mbox. Here's the error message and backtrace. dovecot: Apr 09 10:53:18 Error: 3348 IMAP(chairman): Trying to allocate 0 bytes dovecot: Apr 09

Hello. I wrote the hook function for deliver. I want to add support of editheaders in the plug-in for dovecot. For this purpose I wrote the function rarules_get_stream. Remover of headrs works properly, but adding does not work. I took Timo Sirainen's advice from http://markmail.org/message/skb6arnll5gaopdr . Do I use a correct way of creation of a message? I give backtrace and a

Alan Coopersmith (6): Make Xkb{Get,Set}NamedIndicator spec & manpages match code Clarify state parameter to XkbSetNamedDeviceIndicator Improve table formatting in XkbChangeControls & XkbKeyNumGroups man pages If XGetImage fails to create image, don't dereference it to bounds check Use size_t for buffer sizes in SetHints.c Change fall through comment

Bhavi Dhingra (1): XcmsLookupColor: fully initialize XColor structs passed to _XColor_to_XcmsRGB Matt Turner (1): libX11 1.6.7 Michel Dänzer (2): poll_for_response: Call poll_for_event again if xcb_poll_for_reply fails poll_for_event: Allow using xcb_poll_for_queued_event git tag: libX11-1.6.7 https://xorg.freedesktop.org/archive/individual/lib/libX11-1.6.7.tar.bz2 MD5:

Alan Coopersmith (20): Move Compose \ o / to be with other emoji compose sequences Replace Xmalloc+memset pairs with Xcalloc calls Get rid of some extraneous ; at the end of C source lines Remove unused definition of XCONN_CHECK_FREQ Bug 93184: read_EncodingInfo invalid free Bug 93183: _XDefaultOpenIM memory leaks in out-of-memory error paths Delete #if 0

Hello. My callback for get_stream is called from mail_get_stream in mail_storage_copy. Further, mbox_save_init is called and it called mbox_save_get_input_stream. backtrace (A) for my callback: #0 i_stream_header_filter_read (stream=0x8147e00) at istream-header- filter.c:314 #1 0x080cdbaa in parse_header (mstream=0x8147e00) at istream-header- filter.c:356 #2 0x080cdc0c in

Hi, A. In a nutshell: The training error, obtained as "error (ret)", from the return value of a ksvm () call for a eps-svr model is (likely) being computed wrongly. "nu-svr" and "eps-bsvr" suffer from this as well. I am attaching three files: (1) ksvm.R from the the kernlab package, un-edited, (2) ksvm_eps-svr.txt: (for easier reading) containing only eps-svr

Hi there, I'm trying to do a regression experiment on a multidimensional dataset where both x and y in the model are multidimensional vectors. I'm using R version 2.9.2, updated packages, on a Linux box. I've tried gausspr(), ksvm() and rvm(), and the models are computed fine, but I'm always getting the same error message when I try to use predict(): "Error in

Dear Knowledgeable R Community Members, Please excuse my ignorance, I apologize in advance if this is an easy question, but I am a bit stumped and could use a little guidance. I have a finite mixture modeling problem -- for example, a 2-component gaussian mixture -- where the components have a large overlap, and I am trying to use the "mclust" package to solve this problem. I need

Dear R Helpers, I have searched for any R package or code for simulating multivariate fractional Brownian motion (mFBM) or multivariate fractional Gaussian noise (mFGN) when a covariance matrix are given. Unfortunately, I could not find such a package or code. Can you suggest any solution for multivariate FBM and FGN simulation? Thank you for your help. Best Regards, Ryan ----- Wonsang You

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Hi All, I am using em() function to estimate a poisson-gaussian process from a univariate one dimension time series, but not sure how to do. In the help manual, it specify that in "pro" of the argument "parameter", if the model includes a Poisson term for noise, there should be one more mixing proportion than the number of Gaussian components. But in the example, the parameter

Hi All, I am trying to use A Gaussian quadrature over the interval (-infty,infty) with weighting function W(x)=exp(-(x-mu)^2/sigma) to estimate an integral. Is there a way to do it in R? Is there a function already implemented which uses such weighting function. I have been searching in the statmode package and I found the function "gauss.quad(100, kind="hermite")" which uses

Hello, I'm Emanuela, I'm implemented a survival analysis and I'm trying to use a frailty model with inverse gaussian distribution, but I'm not able to find the right code, because it seems to be only a gamma and a gaussian distribution. Is there also the inverse gaussian distribution? Thanks a lot Emanuela Rossi

Hi, As far as I know, there exist some programs via the function INLA, but I'm so curious if there is a specific function directly used to fit the log Gaussian Cox process model and predict the latent Gaussian field. That is, if I have a data points, then I input it in the function and don't need to revise the program. Thanks for your help. Joseph -- View this message in context: