Lecture 2, Concept Learning [Örjan]
Tid: Torsdag 5 september 2013 kl 15:00 - 17:00
Plats: M1
Aktivitet: Föreläsning
Studentgrupper: TCSCM1-AS, TCSCM1-BER, TCSCM1-PRS, TCSCM1-SPR, TITMM2, TIVNM1, TKOMK3, TMAIM1, TMAIM1-BIO, TMAIM1-IR, TMAIM1-PC, TSCRM1, TSCRM2
Info:
Concept Learning
Readings: Marsland, Chapter 1
- What is Concept Learning?
- Important terminology: positive and negative examples, hypotheses
- The structure of the hypotheses space: General and Special hypotheses
- How can one find a hypothesis that conforms with data?
- The Find-S algorithm
- Why does a naive List-Then-Eliminate algorithm not work in practice?
- How can the choise of leaning method influence the result?
- "Bias-Free Learning", is it possible? Is it desirable?