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Lecture 7, Probability based Learning [Atsuto]

Tid: Måndag 30 september 2013 kl 16:00 - 18:00 2013-09-30T16:00:00 2013-09-30T18:00:00

Kungliga Tekniska högskolan
HT 2013

Plats: F2

Aktivitet: Föreläsning

Studentgrupper: TCSCM1-AS, TCSCM1-BER, TCSCM1-PRS, TCSCM1-SPR, TITMM2, TIVNM1, TKOMK3, TMAIM1, TMAIM1-BIO, TMAIM1-IR, TMAIM1-PC, TSCRM1, TSCRM2

Info:

Bayesian Learning

Readings: Marsland, Chapter 8 and 15.1

  • Bayes Theorem
  • MAP, ML hypotheses
  • MAP learners
  • Naive Bayes learner
  • Expectation Maximization (EM) algorithm

Slides on Probability based Learning
Schemahandläggare skapade händelsen 13 mars 2013
Schemahandläggare redigerade 15 augusti 2013

[u'TIVNM1', u'TKOMK3', u'TMAIM1-PC', u'TCSCM1-BER', u'TMAIM1', u'TCSCM1-AS', u'TCSCM1-SPR', u'TMAIM1-IR', u'TMAIM1-BIO', u'TSCRM1', u'TITMM2', u'TSCRM2', u'TCSCM1-PRS']

Lärare Örjan Ekeberg redigerade 16 augusti 2013

FöreläsLecture 7, Probability based Learning

Bayesian Learning Readings: Marsland, Chapter 8 and 15.1¶


* Bayes Theorem
* MAP, ML hypotheses
* MAP learners
* Minimum description length principle
* Bayes optimal classifier
* Naive Bayes learner
* Bayesian belief networks
* Expectation Maximization (EM) algorithm

Lärare Örjan Ekeberg redigerade 16 augusti 2013

Lecture 7, Probability based Learning [Atsuto]

Schemahandläggare redigerade 31 augusti 2013

[u'TIVNM1', u'TKOMK3', u'TMAIM1-PC', u'TCSCM1-BER', u'TMAIM1', u'TCSCM1-AS', u'TCSCM1-SPR', u'TMAIM1-IR', u'TCSCM1-AS, TCSCM1-BER, TCSCM1-PRS, TCSCM1-SPR, TITMM2, TIVNM1, TKOMK3, TMAIM1, TMAIM1-BIO', u'TSCRM1', u'TITMM2', u'TSCRM2', u'TCSCM1-PRS']TMAIM1-IR, TMAIM1-PC, TSCRM1, TSCRM2

Schemahandläggare redigerade 14 september 2013

TCSCM1-AS, [u'TIVNM1', u'TKOMK3', u'TMAIM1-PC', u'TCSCM1-BER', TCSCM1-PRS, u'TMAIM1', u'TCSCM1-AS', u'TCSCM1-SPR', TITMM2, TIVNM1, TKOMK3, TMAIM1, u'TMAIM1-IR', u'TMAIM1-BIO', TMAIM1-IR, TMAIM1-PC, TSCRM1, TSCRM2u'TSCRM1', u'TITMM2', u'TSCRM2', u'TCSCM1-PRS']

Administratör Atsuto Maki redigerade 22 september 2013

Bayesian Learning Readings: Marsland, Chapter 8 and 15.1


* Bayes Theorem
* MAP, ML hypotheses
* MAP learners
* Minimum description length principle
* Bayes optimal classifier
* Naive Bayes learner
* Bayesian belief networks
 * Expectation Maximization (EM) algorithm

Lärare Atsuto Maki redigerade 27 september 2013

Bayesian Learning Readings: Marsland, Chapter 8 and 15.1


* Bayes Theorem
* MAP, ML hypotheses
* MAP learners
* Minimum description length principle
* Bayes optimal classifier
 * Naive Bayes learner
* Expectation Maximization (EM) algorithm

Lärare Atsuto Maki redigerade 29 september 2013

Bayesian Learning Readings: Marsland, Chapter 8 and 15.1


* Bayes Theorem
* MAP, ML hypotheses
* MAP learners
* Naive Bayes learner
* Expectation Maximization (EM) algorithm
Slides on Probability based Learning¶

Lärare Atsuto Maki redigerade 2 oktober 2013

Bayesian Learning Readings: Marsland, Chapter 8 and 15.1


* Bayes Theorem
* MAP, ML hypotheses
* MAP learners
* Naive Bayes learner
* Expectation Maximization (EM) algorithm
Slides on Probability based Learning

Lärare Atsuto Maki redigerade 3 oktober 2013

Bayesian Learning Readings: Marsland, Chapter 8 and 15.1


* Bayes Theorem
* MAP, ML hypotheses
* MAP learners
* Naive Bayes learner
* Expectation Maximization (EM) algorithm
Slides on Probability based Learning

Schemahandläggare ställde in händelsen 14 december 2013

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Senast ändrad 2013-12-14 00:59

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