similar to: variable selection with support vector machines (SVM)

hello list, i've got 8 objects and i want to calculate a list with all combinations of them. the output should contain the object names. for example: object1 & 2, 1 $ 3, ... best regards mirca -- "Ein Herz f?r Kinder" - Ihre Spende hilft! Aktion: www.deutschlandsegelt.de Unser Dankesch?n: Ihr Name auf dem Segel der 1. deutschen America's Cup-Yacht!

How is it possible to estimate the conditional autoregressive Value-at-Risk model qantile_t(tau)=a0+a1*qantile_(t-1)(tau)+a2*abs(r_(t-1)) see http://www.faculty.ucr.edu/~taelee/paper/BLSpaper1.pdf (page 10)) of Engle & Manganelli in R? The qantile_(t-1)(tau)-term causes headache. Kind regards, Jaci -- "Ein Herz f?r Kinder" - Ihre Spende hilft! Aktion: www.deutschlandsegelt.de

Dear r-help-list: I' got a question about the computation of the improve of a split. The following is an extract of an output of the summary of a tree: Node number 1: 600 observations, complexity param=0.007272727 predicted class=0 expected loss=0.1666667 class counts: 500 100 probabilities: 0.833 0.167 left son=2 (211 obs) right son=3 (389 obs) Primary splits: x4

Hello, I have installed my Samba as a PDC with LDAP Backend, it worked fine, I was able to join the Domain with a Windows XP Client.But Today when i started the server, i can't join a domain anymore. I also can't add users to ldap anymore with smbldap-tools i always get this failure message: 3444 Use of uninitialized value in substitution (s///) at /usr/share/perl5/smbldap_tools.pm line

Dear list members, I have a question concerning multiple comparisons after using glm. My response variable is days until emergence of an insect species. The explanatory variables are sex (two levels), parasitoids added (two levels) and populations (34 levels). I would like to know now which populations are different in days until insect emergence. For this I used multiple comparisons as

Hello, Does any one know an R-function that performs kernel density estimation when there are many variables ? My data has up to 50 variables and several thousand data points. Does any one know an alternative method to perform nonparametric density estimation on high dimensional data ? Many thanks for the help Serge Zaugg --

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On 10/17/18 7:55 PM, Warren Young wrote: > On Oct 17, 2018, at 3:28 PM, Mark Rousell <mark.rousell at signal100.com> wrote: >> >> On 17/10/2018 20:03, Warren Young wrote: >>> On Oct 17, 2018, at 10:03 AM, Mark Rousell <mark.rousell at signal100.com> wrote: >>>> launchd is not being forced on them as systemd is in practice >>> Try doing

Greetings R world, I know some version of the this question has been asked before, but i need to save the output of a loop into a data frame to eventually be written to a postgres data base with dbWriteTable. Some background. I have developed classifications models to help identify problem accounts. The logic is this, if the model classifies the record as including variable X and it turns out

Hello I want to build a classification tree for a binary response variable while the condition for the final tree should be : The total misclassification for each group (zero or one) will be less then 10% . for example: if I have in the root 100 observations, 90 from group 0 and 10 from group 1, I want that in the final tree a maximum of 9 and 1 observations out of group 0 and 1, respectively,

I hope this list is still active. I''m an experienced Linux Sysadmin, but I haven''t done much in the way of routing. Due to a decision made by my higherups, I need to jam a computer between my ISP and my LAN to do bandwidth throttling. My current setup: 1 Crappy Cable Modem (7Mb/768Kb connection) with a static IP. 4 servers (all have static, routable IPs) - One of which is

I use sieve-filter for postprocessing misclassified mail. For false positives I use the following script: require [ "variables", "include", "fileinto" ]; global [ "FORCENOSPAM", "ext", "ext1" ]; set "FORCENOSPAM" "YES"; fileinto "JUNK-PRENOUCE"; if header :matches "Delivered-To"

On Oct 17, 2018, at 3:28 PM, Mark Rousell <mark.rousell at signal100.com> wrote: > > On 17/10/2018 20:03, Warren Young wrote: >> On Oct 17, 2018, at 10:03 AM, Mark Rousell <mark.rousell at signal100.com> wrote: >>> launchd is not being forced on them as systemd is in practice >> Try doing without launchd on macOS. > > If launchd was on Linux and it

Now available on CRAN. Package: mspath Title: Multi-state Path-Dependent Models in Discrete Time Description: Functions for fitting path-dependent (non-Markov) multi-state models to categorical processes observed at arbitrary times, optionally with misclassified responses, and covariates on transition or misclassification rates. Uses discrete-time approximation. Based on the Jackson's

Now available on CRAN. Package: mspath Title: Multi-state Path-Dependent Models in Discrete Time Description: Functions for fitting path-dependent (non-Markov) multi-state models to categorical processes observed at arbitrary times, optionally with misclassified responses, and covariates on transition or misclassification rates. Uses discrete-time approximation. Based on the Jackson's

Hello, I need to draw a vertical line on my plot, the uncertainty segment (which is a vertical segment on every point of my plot so I can have an idea about the probability that a point is misclassified.... clustering problem.....) I remember I have done it a long time ago in Splus using a function called "segment" to which we give the extrem point of the segment , I didn't find

Op 8/13/2015 om 4:33 PM schreef Jost Krieger: > I use sieve-filter for postprocessing misclassified mail. > For false positives I use the following script: > > require [ "variables", "include", "fileinto" ]; > > global [ "FORCENOSPAM", "ext", "ext1" ]; > > set "FORCENOSPAM" "YES"; > >

Dear friends, I'm examining the characteristics of two models that both fit the sodium concentration in 16 pigs quite well under treatment or control conditions. The more complicated model is by anova better than the less complicated model. To take it further I have generated replicate data using the independent variables and parameter estimates under the two models. A clinically

Hi, I am trying to model credit risk data using decision trees. Since the number of defaulters is less compared to non-defaulters (defaulters around 10%), we have the class imbalance problem. Consequently, the confusion matrix shows that the number of misclassified non-defaulters is large. Classifying a defaulter as non-defaulter is more expensive. How does one include this information

I (finally) moved over to Maildir storage here and would like to implement some "scripts" to manage taking actions on emails manually identified as misclassified as spam/ham. After reading through the Dovecot 2 description of how it works to try to see how it interacts with other processes changing the files. I'm concerned that I would be corrupting the message indexes if I just