RLAI Reinforcement Learning and Artificial Intelligence (RLAI)

Subspace Methods for System Identification reading group
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The book
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Meeting
 #
 Date/Time
 Location
 Subject
  Slides
 Presenter
1
 Wednesday May 6th, 11 am
 CSC-349 The beginning of chapter 3 from the book
 download
 Barna
2
 Wednesday May 13th, 10:30 am CSC-349 Chapter 3 continued
Barna
3
 Wednesday May 20th, 10:30 am CSC-349 Finishing Chapter 3
Barna
4
 Wednesday May 27th, 10:30 am CSC-349 Chapter 4
 download
 Gabor
--------
 Wednesday June 3rd --------
 CANCELED

5
 Thursday June 11th
 CSC-349
 Chapter 4
Gabor
6
 Wednesday June 24th, 10:30 am
 CSC-349
 Chapter 5
 download Eric
7
 Monday June 29th, 2:00 pm
 CSC-349
 Chapter 5 cont'd
Eric
8
 Wednesday July 15th, 10:30 am
 CSC-349
 Chapter 5 finished, Chapter 6 started
 Eric
9
 Wednesday July 22nd, 10:30 am
 CSC-349
 Chapter 6
Eric
10
 Wednesday July 29th, 10:30 am CSC-349 Chapter 7 started
 download  Chris
11
 Wednesday Aug 5th, 10:30 am
 CSC-349 Chapter 7 continued
 Chris
--------
 Wednesday Aug 12th, 10:30 am
 -------
 CANCELED

12
 Wednesday Aug 19th, 10:30 am
 CSC-349 Chapter 7 finished, Chapter 8 started
 Chris
13
 Wednesday Aug 26th, 4:00 pm ATH 332
 Chapter 8 finished
Chris
14 Wednesday Sept 9th, 4:30 pm
 ATH 332 Chapter 9 started
 download Barna
15
 Wednesday Sept 16th, 11:00 am CSC 349
 Chapter 9 continued
Barna
16
 Wednesday Sept 23rd, 11:00 am CSC 349 Chapter 9 continued
Barna
17
 Wednesday Sept 30th, 11:00 am
 CSC 333
 Chapter 9 continued
Barna
18 Wednesday Oct 21st, 11:00 am
 CSC 349
 Chapter 9 continued
Barna
19
 Wednesday Oct 28th, 11:00 am
 CSC 349
 Chapter 9 continued
Barna

As a side note to Barnabas talk today, some people may be interested in the talk presented here:
link

Its not as rigorous in the math because its an undergraduate class but she follows the textbook by Oppenheim and Schafer which is the standard reference text used by electrical engineers for discrete signal processing.  

Particularly lecture 2 parallels a lot of what we talked about today.  What is an LTI system, and introduction of Z transform and its properties.  Some may find this as a nice primer before looking at the more detailed approach considered here.  
A relevant paper suggested by Csaba:
SUBSPACE ESTIMATION AND PREDICTION METHODS FOR HIDDEN MARKOV MODELS by Sofia Andersson and Tobias Ryden  
Hi everyone,

There is no subspace meeting tomorrow (Nov 18).
Hope to see you next week.

Cheers,
Barnabas