This project covers a lot of personal LaTeX codes for drawing Bayesian networks, graphical models and framework.
For many programming languages like Python, installing related packages is just the first step. Fortunately, you do not even to install any packages or even LaTeX in your PC (personal computer) because there are many online systems like overleaf make it easy to use.
Open overleaf.com in your Chrome.
It is not necessary to open each file in this repository because you can follow this readme document to find your needs.
- Open BCPF.tex in your overleaf project, you will see the following picture:
BCPF (Bayesian CP factorization) model as a Bayesian network and a directed factor graph.
- Open BGCP.tex in your overleaf project, you will see the following pictures:
BGCP (Bayesian Gaussian CP decomposition) model as a Bayesian network and a directed factor graph.
- Open BGCP-1.tex in your overleaf project, you will see the following picture:
Another example for BGCP (Bayesian Gaussian CP decomposition) model as a Bayesian network and a directed factor graph.
- Open BATF.tex in your overleaf project, you will see the following picture:
BATF (Bayesian augmented tensor factorization) model as a Bayesian network and a directed factor graph.
- Open
- Upload
in your overleaf project, you will see the following picture:
Tensor completion task and its framework including data organization and tensor completion, in which traffic measurements are partially observed.
- Open graphical_time_series.tex in your overleaf project, you will see the following picture:
A graphical illustration of the partially observed time series data.
- Open tensor_time_series.tex in your overleaf project, you will see the following picture:
A graphical illustration of the partially observed time series tensor.
- Open mf-explained.tex in your overleaf project, you will see the following picture:
A graphical illustration of matrix factorization.
- Open tensor.tex in your overleaf project, you will see the following picture:
A graphical illustration for the (origin,destination,time slot) tensor.
- Open AuTF.tex in your overleaf project, you will see the following picture:
Augmented tensor factorization (AuTF) model in our recent study.
- SourceForge - Code, releases, support and bug reports.
- CTAN - Latest version release.
- SourceForge - Code, releases, support and bug reports.
- CTAN - Latest version release.