Empirical Model Learning -- IJCAI 2018 Tutorial

Required modules and external software

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
assets		assets
data		data
eml		eml
shared		shared
.gitignore		.gitignore
00. Introduction.ipynb		00. Introduction.ipynb
01. Getting Data.ipynb		01. Getting Data.ipynb
02. A look at the dataset.ipynb		02. A look at the dataset.ipynb
03. Learning a Neural Network.ipynb		03. Learning a Neural Network.ipynb
04. Back to the Dataset.ipynb		04. Back to the Dataset.ipynb
05. Back to our Networks.ipynb		05. Back to our Networks.ipynb
06. Solving the Problem.ipynb		06. Solving the Problem.ipynb
07. Evaluate Sol.ipynb		07. Evaluate Sol.ipynb
08. To the Dataset Again.ipynb		08. To the Dataset Again.ipynb
09. The Final Round.ipynb		09. The Final Round.ipynb
10. Evaluate the Final Solution.ipynb		10. Evaluate the Final Solution.ipynb
README.md		README.md
gendata.R		gendata.R
sim.R		sim.R