search for: xpx

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