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Instructors: Prof. Dr. rer. nat. Kristian Kersting
Event type:
Integrated Course
Org-unit: Dept. 20 - Computer Science
Displayed in timetable as:
SRAI
Subject:
Crediting for:
Hours per week:
4
Language of instruction:
Englisch
Min. | Max. participants:
- | -
Course Contents:
+ Logic programming
+ Inductive logic programming, i.e., learning logical programs from data
+ Probabilistic graphical models: Inference and Learning
+ Statistical relational models such as ProbLog and Markov logic networks
+ Inference within statistical relational models
+ Learning statistical relational models from data
+ Relational linear and quadratic programs
Literature:
Pointers to literature will be updated regularly and include:
Luc De Raedt, Kristian Kersting, Sriraam Natarajan, David Poole (2016): Statistical Relational Artificial Intelligence: Logic, Probability, and Computation. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 9781627058414.
Preconditions:
The successful completion of “Statistical Machine Learning” and of “Probabilistic Graphical Models” is recommended but not required.
Online Offerings:
moodle
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