leodido / m.sc-thesis

My M.Sc thesis on Continuous time Bayesian Network Classifiers (CTBNCs)

CTBN

This repository contains the tex source of my M.Sc. thesis on Continuous time Bayesian Networks (CTBNs).

Topics

• 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
• Case Studies
  • Tutorials about the main R package
  • Experimentations and performance analysis

Tex

Based on a customization of the ClassicThesis style, obtained through the ArsClassica package and other customizations made by me.

How to compile

Prerequisites

• 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

Steps

1. Use the LaTeX sublime text 2 build tool provided to compile tesi.tex
2. Open tesi-frn.tex and compile it to generate the frontispiece related tesi-frn.pdf file
3. Compile again tesi.tex to insert the frontispiece
4. Run makeindex -s classic tesi in the shell (into the project directory) to build the definitive (and better) arclassica analytical index^(*)
5. 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.}