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Overview

Hours per week : 2

Credits : 4

Participants: Min: 3 Max: 12 Expected: 6

Type of course: Seminar  (Bachelor/Master)

Language: english

Content

In this seminar we will discuss different variations of meta learning, also known as ensemble learning.

The main assumption of meta learning is, that if one simple learner produces quite well results, the combination of multiple ones produce way better results.

We will discuss different meta learning strategies, together with possible use cases.

Possible Topics are :

  • Boosting
  • Random Forests
  • Dynamic Weighted Majority
  • Stacked Generalization
  • ....

Form of Exam

oral presentation (30 minutes) and written examination(8pages) at the end of semester

 

Preliminaries

none

Link to LSF