Lecture 10, Graphical Models [Atsuto]
Tid: Torsdag 10 oktober 2013 kl 10:00 - 12:00
Plats: FR4
Aktivitet: Föreläsning
Studentgrupper: TCSCM1-AS, TCSCM1-BER, TCSCM1-PRS, TCSCM1-SPR, TITMM2, TIVNM1, TKOMK3, TMAIM1, TMAIM1-BIO, TMAIM1-IR, TMAIM1-PC, TSCRM1, TSCRM2
Info:
Graphical Models
Readings: Marsland, chapter 15
- How can conditional probabilities be represented as a graph?
- What is a Bayesian network?
- What is a Hidden Markov Model?
- What is a Dynamic Bayesian network?