## Literature and Code, DD2447 and DD3342

DD3342 is the research level version of DD2447
Apparently, some pdf readers dont like my slides.
Please inform me if you have difficulties. I think
the common commercial readers available at KTH work,
but I will investigate the problem when I get some
spare time.

LECTURE NOTES

Solutions to exercises

Lecture 1 Lecture 1, 4/page

Lecture 2 Lecture 2, 4/page

Lecture 3 Lecture 3, 4/page

Example from Feb 05 rehearsal

Lecture 4 Lecture 4, 4/page

Lecture 5, no slides

Lecture 6 Lecture 6, 4/page

Lecture 7 Lecture 7, 4/page

Proof of Hammersley-Clifford Theorem

Lecture 8 Lecture 8, 4/page

Lecture 8a Lecture 8a, 4/page

Lecture 8+8a Lecture 8+8a, 4/page

PREPARATORY READING

Wikibook on Statistics

SUPPLEMENTARY READING (mainly DD3342)

Some of Ed Jaynes' lecture notes are here:

http://www.nada.kth.se/kurser/kth/2D5342/kurspaket/

Hand on Machine Learning and the Illusion of Progress

Gammerman, Vovk, On Hedging Predictions

Added Jan 21:
Vovk, et al: Algorithmic learning in a random world

Added Feb 03:
Salakhutdinov, Mnih: Bayesian Probabilistic Matrix Factorization

Amazon's recommendation method

RECOMMENDED CODES

Matlab code directory

Particle filtering at TKK

Mathworks central file exchange

SVM-KM package

Support Vector Technology

Bayes Net Toolbox