Statistical learning theory — различия между версиями

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| 5 sept || PAC-learning and VC-dimension: definitions  || [https://www.dropbox.com/s/xm4ijvc447htosw/1lect.pdf?dl=0 1st and 2nd lecture] || [https://www.dropbox.com/s/in3bdva76mni16m/1seminar.pdf?dl=0 Problem list 1]
 
| 5 sept || PAC-learning and VC-dimension: definitions  || [https://www.dropbox.com/s/xm4ijvc447htosw/1lect.pdf?dl=0 1st and 2nd lecture] || [https://www.dropbox.com/s/in3bdva76mni16m/1seminar.pdf?dl=0 Problem list 1]
 
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| 12 sept || PAC-learning and VC-dimension: proof of fundamental theorem  ||  || [https://www.dropbox.com/s/r5u7gl33berpokv/syllabusStatisticalLearning.pdf?dl=0 Problem list 2]
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| 12 sept || PAC-learning and VC-dimension: proof of fundamental theorem  ||  || [https://www.dropbox.com/s/wczt02f8linttzu/2seminar.pdf?dl=0 Problem list 2]
 
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Версия 20:54, 11 сентября 2017

General Information

Syllabus for the 1st module


Course materials

Date Summary Lecture notes Problem list
5 sept PAC-learning and VC-dimension: definitions 1st and 2nd lecture Problem list 1
12 sept PAC-learning and VC-dimension: proof of fundamental theorem Problem list 2


Office hours

Person Monday Tuesday Wednesday Thursday Friday
1
Bruno Bauwens 15:05–18:00 15:05–18:00 Room 620
2
Quentin Paris