Machine learning seminar [ LINGI2379 ]

having passed at least one of the following courses:

• INGI2262 Machine Learning
• ELEC2870 Artificial neural networks
• SINF2275 Data mining and decision making

Themes are chosen in the domain of machine learning

• To study in groups current issues in machine learning, pattern recognition or data analysis
• To summarize a technical or scientific paper of the domain, convey it to colleagues, and discuss it with a critical viewpoint

The course is organised as a seminar where student meet regularly to present and discuss recent scientific papers.

Les séminaires pourront être présentés en anglais ou en français par les étudiants.

Illustrative examples:

• Semi-supervised learning methods
• Structured data mining (graphs, trees, sequences, etc.)
• Kernel methods for classification and regression
• Variable selection methods
• Hidden Markov models and their applications
• Boosting and bagging algorithms
• Automata induction techniques