Lehrstuhl für Informatik 2 Gabriella Kókai: Maschine Learning 1 Computational Learning Theory.
Artificial Neural Networks. Lehrstuhl für Informatik 2 Gabriella Kókai: Maschine Learning Overview Motivation & Goals Perceptron-Learning Gradient Algorithms.
Lehrstuhl für Informatik 2 Gabriella Kókai: Maschine Learning 1 Inductive Logic Programming.
Analytical Learning. Lehrstuhl für Informatik 2 Gabriella Kókai: Maschine Learning Content Introduction Difference between Inductive and Analytical Learning.
Evolutionary Algorithms. Lehrstuhl für Informatik 2 Gabriella Kókai: Maschine Learning Overview Motivation Nature as a Standard Genetic Algorithms Genetic.
1 Concept Learning and the General-to-Specific Ordering.
Lehrstuhl für Informatik 2 Gabriella Kókai: Maschine Learning 1 Combining Inductive and Analytical Learning.
Lehrstuhl für Informatik 2 Gabriella Kókai: Maschine Learning Reinforcement Learning.
Learning set of rules. Lehrstuhl für Informatik 2 Gabriella Kókai: Maschine Learning 2 Content ➔ Introduction Sequential Covering Algorithms Learning.
