Difference between revisions of "VS298 (Fall 06): Reading"

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* [http://redwood.berkeley.edu/~amir/vs298/probability.pdf A probability primer]
 
* [http://redwood.berkeley.edu/~amir/vs298/probability.pdf A probability primer]
 
* [http://redwood.berkeley.edu/~amir/vs298/bayes-prob.pdf Bayesian probability theory and generative models]
 
* [http://redwood.berkeley.edu/~amir/vs298/bayes-prob.pdf Bayesian probability theory and generative models]
* Mixture of Gaussians model (coming soon)
+
* [http://redwood.berkeley.edu/~amir/vs298/mog.pdf Mixture of Gaussians model ]

Revision as of 07:03, 17 November 2006

29 Aug

  • Bell, A.J. Levels and loops: the future of artificial intelligence and neuroscience. Phil Trans: Bio Sci. 354:2013--2020 (1999) here or here

06 Sep

08 Sep

Optional reading for more background:

20 Sep

  • Handout on supervised learning in single-stage feedforward networks

22 Sep

27 Sep

  • D&A Chapter 8

11 Oct

13 Oct

18 Oct

  • HKP Chapter 9

20 Oct

25 Oct

27 Oct

8 Nov