chromophore

7 ms·

1. 1.▲
   Where does the Sigmoid in Logistic Regression come from? (Rather, why log-odds?)(onionesquereality.wordpress.com)

   2 points by chromophore 10y ago|0 comments
2. 2.▲
   Darwinian Evolution is a form of PAC (Machine) Learning(onionesquereality.wordpress.com)

   2 points by chromophore 15y ago|0 comments
3. 3.▲
   Blind Mathematicians(onionesquereality.wordpress.com)

   21 points by chromophore 15y ago|3 comments
4. 4.▲
   by chromophore 16y ago

   to be precise - http://web.cs.wpi.edu/~guttman/cs521_website/Dougherty_lectu...
5. 5.▲
   by chromophore 16y ago

   Look at the notes similar to the one linked at the end of this website. http://web.cs.wpi.edu/~guttman/cs521_website/index.html I think this is a very helpful page.
6. 6.▲
   by chromophore 16y ago

   MATLAB is a language? ;-)
7. 7.▲
   N is a Number : A Portrait of Paul Erdős(onionesquereality.wordpress.com)

   4 points by chromophore 16y ago|1 comments
8. 8.▲
   by chromophore 16y ago

   The comments are as retarded as the article itself. Typical western comparison as one commenter put it as.
9. 9.▲
   by chromophore 17y ago

   This has been here before : http://news.ycombinator.com/item?id=795388
10. 10.▲
    by chromophore 17y ago

    Unfortunate because it has distorted the original idea beyond recognition. :) A lot of people know F. J. Dyson only for Dyson "spheres" (the original conception was that of a swarm, SF modified the idea to a sphere, then shell). Though it'
11. 11.▲
    by chromophore 17y ago

    Of course it has. Dyson Spheres are famous in SF. The Matrioshka Brains are just distant relatives of the same.
12. 12.▲
    by chromophore 17y ago

    http://home.fnal.gov/~carrigan/infrared_astronomy/Fermilab_s... The link above is to a fermi lab program to look for Dyson spheres. The Matrioshka brain is a subset of the Dyson sphere. Something made famous, unfortunately, by Trekkers.
13. 13.▲
    by chromophore 17y ago

    I notice some people above saying that it could be a mistake. I think it could be. But it is less likely that it was. I say that because Pachauri had been saying for a year that the Indian government was being arrogant by not agreeing to th
14. 14.▲
    by chromophore 17y ago

    And I prefer the book by Bishop, It strikes a fine balance between the maths and the ideas.
15. 15.▲
    by chromophore 17y ago

    Agree with you Paras! Shubhendu here by the way! :) I was taken aback a little by the suggestion to use the UCI repository with R for beginning ML. I would agree with your approach, I learnt all my basics from Andrew Ng's course and his cou
16. 16.▲
    Physics, Topology, Logic and Computation: A Rosetta Stone(arxiv.org)

    44 points by chromophore 17y ago|4 comments
17. 17.▲
    Lecture Notes on Convexity(maths.bris.ac.uk)

    1 points by chromophore 17y ago|0 comments
18. 18.▲
    by chromophore 17y ago

    I don't agree with you. Read "Shadows of the Mind", your opinions on him might change. I don't think being a Polymath means you have to know mutually exclusive stuff. I don't that's possible in the sciences anyway.
19. 19.▲
    Statistical performance of support vector machines(arxiv.org)

    1 points by chromophore 17y ago|0 comments
20. 20.▲
    Spectral Connectivity Analysis(arxiv.org)

    1 points by chromophore 17y ago|0 comments
21. 21.▲
    by chromophore 17y ago

    Really? ;-)
22. 22.▲
    Training a Support vector Machine in the Primal instead of the Dual(kyb.mpg.de)

    5 points by chromophore 17y ago|2 comments
23. 23.▲
    by chromophore 17y ago

    Society of the mind was one of the best books I read when i read some years ago!
24. 24.▲
    Receiver Operating Characteristic (ROC) Literature Research(spl.harvard.edu)

    1 points by chromophore 17y ago|0 comments
25. 25.▲
    The Emergence of French Statistics(front.math.ucdavis.edu)

    1 points by chromophore 17y ago|0 comments
26. 26.▲
    Machine Learning Theory(cs.cmu.edu)

    3 points by chromophore 17y ago|0 comments
27. 27.▲
    Statistical Learning Theory : Models, Concepts and Results (Notes by Schoelkopf)(front.math.ucdavis.edu)

    3 points by chromophore 17y ago|0 comments
28. 28.▲
    Who is afraid of non-convex loss functions?(videolectures.net)

    1 points by chromophore 17y ago|0 comments
29. 29.▲
    PAC-Bayesian Supervised Classification (Thermodynamics of statistical learning)(dma.ens.fr)

    2 points by chromophore 17y ago|0 comments
30. 30.▲
    by chromophore 17y ago

    This post is supposed to be suggestive. ;-)