deangiberson

# Monitoring on interface eth0
tcpdump -i eth0 -n port 67 and port 68

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From Geoff Anders, of Leverage Research (http://www.leverageresearch.org/)

For people doing goal factoring - or for people making any sort of box-and-arrow diagram - I recommended the program yEd. It is available here: http://www.yworks.com/en/products_yed_about.html

After you install it, I highly recommend setting up the defaults in the following way:

1. Open yEd.
2. Create a new document.
3. Click the white background; a small yellow square should appear on the canvas.
4. Click the small yellow square so as to select it.

deangiberson

Business Models

Advertising

Models	Examples
Display ads	Yahoo!
Search ads	Google

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deangiberson

/**
 * Circular Tooltip (SO)
 * http://stackoverflow.com/q/13132864/1397351
 */
* { margin: 0; padding: 0; }
body {
	overflow: hidden;
	background: url(http://theearlcarlson.com/experiments/amTooltip/img/bg.jpg);
}
/* generic styles for button & circular menu */

deangiberson

function MonitorAssignment( F, names, valNames, E )
% MonitorAssignment( F, names, valNames, E ) - Pretty prints all the 
%   marginals for an assignment
%
%   F contains the struct array of factors
%   names contains the variable names
%   valNames contains the assignment names for each variable, 
%    as seen in SAMIAM
%   E is an N-by-2 cell array, each row being a variable/value pair. 
%     Variables are in the first column and values are in the second column.

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(defun* get-closest-pathname (&optional (file "Makefile"))
  "Determine the pathname of the first instance of FILE starting from the
current directory towards root. This may not do the correct thing in presence
of links. If it does not find FILE, then it shall return the name of FILE in
the current directory, suitable for creation"
  (let ((root (expand-file-name "/")))
    (expand-file-name file
                      (loop
                       for d = default-directory
                       then (expand-file-name ".." d)

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# A simple approach to visually-weighted regression plots, with Zelig

doInstall <- TRUE  # Change to FALSE if you don't want packages installed.
toInstall <- c("ggplot2", "reshape2", "Zelig")
if(doInstall){install.packages(toInstall, repos = "http://cran.us.r-project.org")}
lapply(toInstall, library, character.only = TRUE)

# Generate some data:
nn <- 1000
myData <- data.frame(X = rnorm(nn),