similar to: Track ticket system - spam filtering

# 0.400000 0.400000 156.153.255.237 # 0.400000 0.307692 delivered-to # 0.400000 0.228571 for # 0.400000 0.164948 from # 0.400000 0.116364 lists.samba.org # 0.400000 0.080706 mbp # 0.400000 0.055292 nov # 0.400000 0.037553 palrel12.hp.com # 0.400000 0.025353 postfix # 0.400000 0.017046 received # 0.400000 0.011429 return-path # 0.400000 0.007648 rsync # 0.400000

Hi, Thanks for taking the time to report this. On 10/23/2014 06:38 AM, Roger H?gensen wrote: > Consider this a Ticket for Icecast 2.4 > > ******************************************************************************** > If you look at > {{{ > admin/stats.xml > }}} > > on a Icecast-KH server (default setup) and an Icecast 2.4 server > (default setup) the following

Totally understood -- we face similar issues on our forums. Thanks very much, RJ Ryan On Tue, Nov 18, 2014 at 12:15 PM, "Thomas B. R?cker" <thomas at ruecker.fi> wrote: > On 11/18/2014 05:02 PM, RJ Ryan wrote: > > Hm, I attempted to file a ticket but was rejected: > > > > Submission rejected as potential spam > > > > * BotScout says this is

Can you provide the summary(m2) results? > -----Original Message----- > From: Simon Pickett [mailto:S.Pickett at exeter.ac.uk] > Sent: Wednesday, August 16, 2006 7:14 AM > To: Doran, Harold > Cc: r-help at stat.math.ethz.ch > Subject: [SPAM] - RE: [R] REML with random slopes and random > intercepts giving strange results - Bayesian Filter detected spam > > Hi again,

greetings, yes, Mr. Richey it was funny what everyone posted... we all need that from time to time eh? ummm on the work side... i have been trying to search on how to block alternative language spam (spanish or otherwise) and am coming up fairly blank except for Bayesian filtering... i will probably be using the www.qmailrocks.org system again yet i am interested in what others have done and

Sorry if this not the right place to post this.... BUT... Since May 31st, ALL of these user list messages have been filtered by "spamassassin" running on my Linux box. - Claim to be listed in "Bayes" as spam. - Have no clue why this is happening. Luckily, "spamassassin" sent the messages to the "probably-spam" folder on the Linux box & I was able to

Actually, I re-read the post and think it needs clarification. We may both be right. If the question is "I am building a model and want to know if I should retain this random effect?" (or something like that) then the LRT should be used to compare the fitted model against another model. This would be accomplished via anova(). In other multilevel programs, the variance components are

Since 2008, Microsoft (formerly Revolution Analytics) staff and guests have written about R every weekday at the Revolutions blog (http://blog.revolutionanalytics.com) and every month I post a summary of articles from the previous month of particular interest to readers of r-help. In case you missed them, here are some articles related to R from the month of May: Many interesting presentations

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I didn't go into details when I asked the question for feat that I would overly specific and blur my real goals. The links between variables are defined as conditional probability distributions. So if the probability distribution of a variable X's value is conditioned on the probability distribution of the values of Y and Z, we say Y and Z are X's parents, and in the network,

I have just submitted MiscPsycho to CRAN. MiscPsycho contains functions for miscellaneous psychometrics that may be useful for applied psychometricians. MML estimation already exists in the ltm package. Hence, a jml option is provided for users who prefer this method. The jml function gives back rasch difficulties and the same Infit and Outfit statistics as Winsteps. Also, jml is known to return

I have just submitted MiscPsycho to CRAN. MiscPsycho contains functions for miscellaneous psychometrics that may be useful for applied psychometricians. MML estimation already exists in the ltm package. Hence, a jml option is provided for users who prefer this method. The jml function gives back rasch difficulties and the same Infit and Outfit statistics as Winsteps. Also, jml is known to return

Dear R users, I am trying to run a Bayesian change point analysis on a time series with the R package "bcpa". However, the data file needs to be of the class "track". My data file is at present a three-column data frame (Time, X and Y coordinates) and I am unable to change to class "track" using either "setClass", "setAs" or "as", and if

It seems like the Bayesian folks like to hide. Hey, I just want to get the job done whether using frequency or Bayesian stats. Can anybody suggest a good introduction to Bayesian Analysis? ----- Forwarded message from Ken Beath <kjbeath at kagi.com> ----- To: Joshua N Pritikin <jpritikin at pobox.com> From: Ken Beath <kjbeath at kagi.com> Subject: Remedial stats Hi,

In the near future I will release MiscPsycho, a package that contains various functions useful for applied psychometricians. I would like to include some data sets for distribution in the package, but have not created any of these on my own, but have used data distributed in other packages such as the LSAT data in the ltm package. Is it appropriate for me to distribute a data set in the package I

In the past I've used a combination of spamhaus combined RBL's and Spamassassin with Mailscanner as my spam recipe, but this stopped working very well for me well over a year ago. As many of the users of the couple small/personal mail servers I run are NOT technical people, and use POP to read their mail, 'training' spamassassin is difficult at best. Once upon a time, using

I have been using centos 6 in a virtualized system for a few months now. Took a while to batten down the hatches with postfix, rbls, and to use fail2ban correctly. The mailserver for my website(s) are located on the http server as well..an 'all in one' server. DNS servers are separated. My two sites, and their emails addresses (1 for each) have been around for 10 and 15 years

Hello! The code below works - if you run it you'll see a stacked area chart generated based on the data example. I only have one understanding question about the legend location (the very last snippet of code): legend(par()$usr[2], mean(par()$usr[3:4]), rev(order.of.vars), xpd=T, bty="n", pch=15, col=all.colors[rev(order.of.colors)]) I see that par()$usr[2] = 14763.72

Not to draw this off-topic thread out too long, but perhaps there are enough interested to make it worthwhile: > > And, since my son asked me and I am basketball ignorant: Why are > > basketball scores mostly much too close to equality? The arguments > > (loose power when leading) The relevant rule is the one that dictates that after a team scores a basket, the ball goes

Apologies for cross-posting. Places are available in the following course: "Introduction to Bayesian Data Analysis using WinBUGS and R" Best Regards, Pablo ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Course: Introduction to Bayesian Data Analysis using WinBUGS and R Where: Linux Hotel, Essen-Horst, Germany