Module Identifier | CS36110 | ||
Module Title | INTELLIGENT LEARNING | ||
Academic Year | 2002/2003 | ||
Co-ordinator | Dr Mark B Ratcliffe | ||
Semester | Semester 1 | ||
Other staff | Dr Yonghuai Liu | ||
Pre-Requisite | CS26210 | ||
Course delivery | Lecture | 20 lectures | |
Assessment | Semester Exam | 2 Hours | 100% |
Supplementary Exam | Will take the same form, under the terms of the Department's policy. | ||
Further details | http://www.aber.ac.uk/compsci/ModuleInfo/CS36110 |
2. Concept learning - 2 lectures
Generality ordering of hypotheses, FIND-S algorithm, candidate elimination algorithm, version space, the LIST-THEN-ELIMINATE algorithm, inductive bias
3. Decision tree learning - 3 lectures
Entropy, best attribute, information gain, best tree, inductive bias, Occam's razor, over-fitting, reduced error pruning, rule post-pruning
4. Artificial neural network - 3 lectures
Perceptron, linear separability, gradient decent, sigmoid function, back propagation algorithm, over-fitting
5. Baysian learning - 4 lectures
Baysian theory, maximum a posteriori hypothesis, maximum likelihood, probability density, normal distribution, minimum description length principle, Bayes optimal classifier, naive Bayes classifier
6. Genetic algorithm - 3 lectures
Best hypothesis, hypothesis representation, genetic operators, fitness function, fitness proportionate selection, steady state selection, rank based selection
7. Inductive logic programming - 2 lectures
Inverse resolution, unification, clauses, constructive induction, top-down learning
8. Reinforcement learning - 2 lectures
Q-learning, adaptive dynamic programming, temporal difference learning.