{"id":16931629,"url":"https://github.com/leodido/m.sc-thesis","last_synced_at":"2026-02-08T19:03:29.079Z","repository":{"id":149104184,"uuid":"9786168","full_name":"leodido/m.sc-thesis","owner":"leodido","description":"My M.Sc thesis on Continuous time Bayesian Network Classifiers (CTBNCs)","archived":false,"fork":false,"pushed_at":"2014-04-03T09:05:20.000Z","size":46344,"stargazers_count":3,"open_issues_count":2,"forks_count":0,"subscribers_count":4,"default_branch":"develop","last_synced_at":"2025-01-26T00:15:11.235Z","etag":null,"topics":["bayesian-networks","ctbn","ml","thesis","time-series","time-series-classification"],"latest_commit_sha":null,"homepage":"","language":"TeX","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/leodido.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2013-05-01T05:13:48.000Z","updated_at":"2021-07-01T17:44:14.000Z","dependencies_parsed_at":"2023-03-30T13:10:30.744Z","dependency_job_id":null,"html_url":"https://github.com/leodido/m.sc-thesis","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/leodido%2Fm.sc-thesis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/leodido%2Fm.sc-thesis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/leodido%2Fm.sc-thesis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/leodido%2Fm.sc-thesis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/leodido","download_url":"https://codeload.github.com/leodido/m.sc-thesis/tar.gz/refs/heads/develop","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244730700,"owners_count":20500500,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bayesian-networks","ctbn","ml","thesis","time-series","time-series-classification"],"created_at":"2024-10-13T20:44:24.640Z","updated_at":"2026-02-08T19:03:24.049Z","avatar_url":"https://github.com/leodido.png","language":"TeX","funding_links":[],"categories":[],"sub_categories":[],"readme":"CTBN [![Analytics](https://ga-beacon.appspot.com/UA-49657176-1/m.sc-thesis)](https://github.com/igrigorik/ga-beacon)\n=====\n\nThis repository contains the `tex` source of my M.Sc. thesis on Continuous time Bayesian Networks (CTBNs).\n\n## Topics\n\n* Theory\n    - Continuous time Bayesian Networks\n    - Continuous time Bayesian Network Classifiers\n    - Continuous time Bayesian Network structure learning\n* Development\n    - Analysis of the relative `R` packages developed\n    - Analysis and description of the `.dll` extension developed to generate traffic dataset from [TSIS](http://mctrans.ce.ufl.edu/featured/tsis/)\n* Case Studies\n    - Tutorials about the main `R` package\n    - Experimentations and performance analysis\n\n## Tex\n\nBased on a customization of the `ClassicThesis` style, obtained through the `ArsClassica` package and other customizations made by me.\n\n### How to compile\n\n#### Prerequisites\n\n* Texlive (or similar) complete distribution\n* ArsClassica package installed\n* Sublime Text 2\n* Sublime Text 2 LaTeXTools package installed\n* \u003cdel\u003eGraphviz installed (`dot` utility have to be in the `$PATH` variable)\u003c/del\u003e\n* \u003cdel\u003eCompiling: `pdflatex` with option `-shell-escape`\u003c/del\u003e\n\n#### Steps\n\n1. Use the LaTeX `sublime text 2` build tool provided to compile `tesi.tex`\n2. Open `tesi-frn.tex` and compile it to generate the frontispiece related `tesi-frn.pdf` file\n3. Compile again `tesi.tex` to insert the frontispiece\n4. Run `makeindex -s classic tesi` in the shell (into the project directory) to build the definitive (and better) `arclassica` analytical index\u003csup\u003e(*)\u003c/sup\u003e\n5. Recompile `tesi.tex`\n\nNote: `tesi.sublime-project` file set `tesi.tex` file as the `tex` root file for the project.\n\n\u003csub\u003e(*) Thi step is required each time a new indexed term (or keyword) is added.\u003c/sub\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fleodido%2Fm.sc-thesis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fleodido%2Fm.sc-thesis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fleodido%2Fm.sc-thesis/lists"}