This repository contains the tex
source of my M.Sc. thesis on Continuous time Bayesian Networks (CTBNs).
- Theory
- Continuous time Bayesian Networks
- Continuous time Bayesian Network Classifiers
- Continuous time Bayesian Network structure learning
- Development
- Analysis of the relative
R
packages developed - Analysis and description of the
.dll
extension developed to generate traffic dataset from TSIS
- Analysis of the relative
- Case Studies
- Tutorials about the main
R
package - Experimentations and performance analysis
- Tutorials about the main
Based on a customization of the ClassicThesis
style, obtained through the ArsClassica
package and other customizations made by me.
- Texlive (or similar) complete distribution
- ArsClassica package installed
- Sublime Text 2
- Sublime Text 2 LaTeXTools package installed
Graphviz installed (dot
utility have to be in the$PATH
variable)Compiling:pdflatex
with option-shell-escape
- Use the LaTeX
sublime text 2
build tool provided to compiletesi.tex
- Open
tesi-frn.tex
and compile it to generate the frontispiece relatedtesi-frn.pdf
file - Compile again
tesi.tex
to insert the frontispiece - Run
makeindex -s classic tesi
in the shell (into the project directory) to build the definitive (and better)arclassica
analytical index(*) - Recompile
tesi.tex
Note: tesi.sublime-project
file set tesi.tex
file as the tex
root file for the project.
(*) Thi step is required each time a new indexed term (or keyword) is added.