Machine Learning - Summer Term 2006

Introduction

Lecturers:   Prof. Steffen Hölldobler and Dr. Huong Le Thanh

See the official Course Summary page for more details.

Time and Place

Lectures are held on Mondays, 3rd DS (from 11.10am until 12.40pm), in in GRU 350

Tutorials are held every fortnight on Tuesdays, 2nd DS (from 9.20am until 10.50am), in GRU 350

References

Recommended text:

Tom Mitchell, Machine Learning, McGraw Hill, 1997

Details about the Examination

Throughout the course, we are going to apply continuous assessment. The students asked to submit solutions to selected exercises in writing. Details are given on the exercise sheets.

Mid of June, there is going to be an assignment on the application of selected machine learning techniques. Students will present their work in the final week of term.

During the examination period, there is going to be an oral exam about the contents of the course.

The course is assessed to 20% for the exercises, to 20% for the assignment, and to 60% for the final exam.

List of Topics Arranges by Weeks

Please note that the first lecture is on Tuesday, 4th April, 2nd DS, in GRU 350.

Week 1

• Lecture (4th April):   Introduction

Week 2

• Lecture (10th April):   Concept learning and the general-to-specific ordering

Week 3

• Tutorial (18th April):   Exercise sheet

Week 4

• Lecture (24th April):   Decision tree learning

Week 5

• Tutorial (2nd May):   Exercise sheet

Week 6

• Lecture (8th May):   Artificial neural networks

Week 7

• Lecture (15th May):   Neural-symbolic integration
• Tutorial (16th May):   Exercise sheet

Week 8

• Lecture (22nd May):   Reinforcement learning

Week 9

• Lecture (29th May)    Computational learning theory
• Tutorial (30th May):   Exercise sheet

Week 10

• Lecture (12th June)    Learning sets of rules
• Tutorial (13th June):   Computational learning theory
• Explain the solutions to this exercise
• Read the assignment

Week 11

• Lecture (19th June)    First-order logic and recurrent networks

Week 12

• Lecture (26th June)    Support vector machines
• Tutorial (27th June):   Learning sets of rules

Week 13

• Lecture (3rd July)    Genetic algorithms

Week 14

• Assignment presentations (10th July)
• Tutorial (11th July):   Support vector machines
• Oral exams (14th July)

Please sign up for a time-slot in the oral exam outside the door of GRU 421 until 10th July 2006.