https://github.com/leodido/m.sc-thesis
My M.Sc thesis on Continuous time Bayesian Network Classifiers (CTBNCs)
https://github.com/leodido/m.sc-thesis
bayesian-networks ctbn ml thesis time-series time-series-classification
Last synced: 4 months ago
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My M.Sc thesis on Continuous time Bayesian Network Classifiers (CTBNCs)
- Host: GitHub
- URL: https://github.com/leodido/m.sc-thesis
- Owner: leodido
- Created: 2013-05-01T05:13:48.000Z (about 13 years ago)
- Default Branch: develop
- Last Pushed: 2014-04-03T09:05:20.000Z (about 12 years ago)
- Last Synced: 2025-01-26T00:15:11.235Z (over 1 year ago)
- Topics: bayesian-networks, ctbn, ml, thesis, time-series, time-series-classification
- Language: TeX
- Homepage:
- Size: 44.2 MB
- Stars: 3
- Watchers: 4
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
CTBN [](https://github.com/igrigorik/ga-beacon)
=====
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](http://mctrans.ce.ufl.edu/featured/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.