Neurals & Bayes Network
Practical sessions
You can download :
- Conditional probabilities and Classification : [ TGZ ]
- Linear Regression : [ TGZ ]
- Linear Discrimination : [ TGZ ]
- Models comparison and regularisation : [ PDF , TGZ ]
- Flexible regression (polynomial, Nadaraya-Watson and Spline regressions) : [ PDF , TGZ ]
- Multi Layer Perceptron : [ PDF , TGZ ]
- Bayesien Network : Parameters and Structure Learning : [ PDF , TGZ ]
Project : Network-based Intrusion Detection using Neural Networks
Subject : Each group of 2 students had to implement an algorithm described by an article.
You can download :
- the article : Network-based Intrusion Detection using Neural Networks, by Alan Bivens, Chandrika Palagiri, Rasheda Smith, Boleslaw Szymanski and Mark Embrechts, from Rensselaer Polytechnic Institute : [ PDF ]
- the sources : [ TGZ ]
- the report : [ PDF ]
- the presentation : [ PDF ]
Realized with Florian Boitrel.
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