Displaying 5 results from an estimated 5 matches for "xpx".
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2002 Jan 21
0
nmap and OpenSSH 3.0.XpX
Hi all!
I'm a bit curious about this I found out while running nmap
scans on some of our machines.
It seems that OpenSSH 3.0.1p1 and 3.0.2p1 doesn't like the
nmap scan. I have put the logging to debug and run
"nmap -p 1- <machine>" and it resulted in the below:
error: accept: Software caused connection abort
Our servers are Solaris 2.6 and Solaris 8 machines with
2011 Aug 06
0
ridge regression - covariance matrices of ridge coefficients
...<- nrow(X)
p <- ncol(X)
#center X and y
Xm <- colMeans(X)
ym <- mean(y)
X <- X - rep(Xm, rep(n, p))
y <- y - ym
#scale X, as in MASS::lm.ridge
Xscale <- drop(rep(1/n, n) %*% X^2)^0.5
X <- as.matrix(X/rep(Xscale, rep(n, p)))
XPX <- crossprod(X)
XPy <- crossprod(X,y)
I <- diag(p)
lmfit <- lm.fit(X, y)
MSE <- sum(lmfit$residuals^2) / (n-p)
# prepare output
coef <- matrix(0, length(lambda), p)
cov <- as.list(rep(0, length(lambda)))
mse <- rep(0, leng...
2016 Aug 07
2
Weighting Schemes: Evaluation results
...uation of pivoted normalization ("PPP") of tf-idf weighting scheme is
also complete now. I have also evaluated the default tf-idf normalization
("ntn") and other normalizations combinations involving pivoted
normalization in wdfn, idfn and wtn component as "Pxx", "xPx" and "xxP"
normalization strings respectively to have a clear idea about which one
does better job of retrieving relevant documents.
All results of evaluation runs can be easily accessed here:
https://gist.github.com/ivmarkp
Comparing the MAP of "PPP" with that of "n...
2016 Jul 28
2
Weighting Schemes: Evaluation results
Ah. If FIRE doesn't have something that can show this suitably, then
> maybe Parth can advise on access to TREC, as I know he's used some of
> them in the past.
>
?I can say FIRE is also a reliable source but INEX/TREC are better. INEX
can give you free access and TREC is not freely available. I had used INEX
for xapian in the past and some details are here:
2002 Jan 10
4
Test if beta is different from something other than 0
Is there a function/package that will allow you to test the hypothesis beta1
= x in a
simple linear regression, where x is a constant? The AOV tests if beta1 in
different from
0 but what if I want to know if beta1 one is different from 1?
With best wishes and kind regards I am
Sincerely,
Corey A. Moffet
Instructor
Department of Range, Wildlife, and Fisheries Management
Mail Stop 2125
Texas