Module Identifier | CS36110 | |||||||||||
Module Title | INTELLIGENT LEARNING | |||||||||||
Academic Year | 2006/2007 | |||||||||||
Co-ordinator | Dr Yonghuai Liu | |||||||||||
Semester | Semester 1 | |||||||||||
Other staff | Professor Ross D King, Dr Yonghuai Liu, Dr Maria Liakata, Professor Mark H Lee, Dr Larissa Soldatova | |||||||||||
Pre-Requisite | CS26110 or equivalent. | |||||||||||
Course delivery | Lecture | 20 lectures | ||||||||||
Assessment |
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Further details | http://www.aber.ac.uk/compsci/ModuleInfo/CS36110 |
2. Concept learning - 3 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. Reinforcement learning - 2 lectures
Q-learning, adaptive dynamic programming, temporal difference learning.
This module is at CQFW Level 6