Probabilistic Inductive Logic Programming (Lecture Notes in Computer Science)

Author: Stephen H. Muggleton
5.0

Probabilistic Inductive Logic Programming (Lecture Notes in Computer Science)

5.0

Review Date:

Comments

by YeGoblynQueenne   2018-08-10
Not rude at all! There are precious few textbooks on ILP, it's mostly a bunch of scattered papers published in various journals and conferences. Nienhuys-Cheng and de Wolf are an excellent first point of call. You can also try the following books:

Logical and Relational Learning - Luc de Raedt [https://www.amazon.com/Logical-Relational-Learning-Cognitive...]

Probabilistic Inductive Logic Programming, Theory and applications - Luc de Raedt, Paolo Frasconi, Kristian Kersting, Stephen Muggleton [https://www.amazon.com/Probabilistic-Inductive-Programming-L...]

And this book chapter (although it's probably nothing new compared to Foundations of ILP):

Inductive Logic Programming: Theory and Methods - Stephen Muggleton and Luc de Raedt https://www.sciencedirect.com/science/article/pii/0743106694...

Unfortunately, there are, as of yet, no textbooks on Meta-Interpretive Learning and I don't expect there to be one for a few years still. MIL is a very new area of research. The first papers were published only in 2015 and we are basically still working on it furiously. It will take a while before there is enough material for a textbook. All the same, I am planning to do a few internet postings regarding MIL, at some point in the near future.

Please feel free to contact me via my profile email, if you would like some pointers to MIL and more general ILP resources other than the ones discussed above.