chromophore
Darwinian Evolution is a form of PAC (Machine) Learning
Blind Mathematicians
Re:Introduction to Logic in Computing Science [pdf]
on Friday January 28, 2011 @12:28PM (#2152652)
to be precise - http://web.cs.wpi.edu/~guttman/cs521_website/Dougherty_lectu...
Re:Introduction to Logic in Computing Science [pdf]
on Friday January 28, 2011 @12:26PM (#2152647)
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.
Re:Which programming language do you really hate?
on Saturday November 06, 2010 @02:56PM (#1877478)
MATLAB is a language? ;-)
N is a Number : A Portrait of Paul Erdős
Re:India: Land of many cell phones, fewer toilets
on Sunday October 31, 2010 @02:55AM (#1852697)
The comments are as retarded as the article itself.
Typical western comparison as one commenter put it as.
Re:Reinforcement Learning: An Introduction
on Thursday January 28, 2010 @12:06PM (#1084328)
This has been here before : http://news.ycombinator.com/item?id=795388
Re:Matrioshka Brains: computing at the limits of physics
on Saturday January 23, 2010 @10:45PM (#1072937)
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's obvious he did a lot of other work and that the Dyson sphere was nothing as compared to what he has done. It was just a thought experiment.
Re:Matrioshka Brains: computing at the limits of physics
on Saturday January 23, 2010 @12:26PM (#1072084)
Of course it has. Dyson Spheres are famous in SF.
The Matrioshka Brains are just distant relatives of the same.
Re:Matrioshka Brains: computing at the limits of physics
on Saturday January 23, 2010 @12:24PM (#1072082)
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.
Re:Climate Change Authority Admits Mistake
on Friday January 22, 2010 @11:52AM (#1069996)
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 their "findings". And he rejected research such as this : http://moef.nic.in/downloads/public-information/MoEF%20Discu... Compiled by people who have 3-4 decades of experience in Himalayan glaciology.
Please do check that review paper. It is not easy to find.
Re:Guide to getting started in Machine Learning
on Wednesday October 21, 2009 @04:49PM (#895591)
And I prefer the book by Bishop, It strikes a fine balance between the maths and the ideas.
Re:Guide to getting started in Machine Learning
on Wednesday October 21, 2009 @04:47PM (#895589)
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 course more or less follows what you said. :)
Physics, Topology, Logic and Computation: A Rosetta Stone
Lecture Notes on Convexity
Re:Hunt for Modern Polymaths: 20 Living Examples
on Sunday October 11, 2009 @01:55AM (#874390)
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.
Statistical performance of support vector machines
Spectral Connectivity Analysis
Re:Training a Support vector Machine in the Primal instead of the Dual
on Saturday October 03, 2009 @01:09AM (#858539)
Really? ;-)
Training a Support vector Machine in the Primal instead of the Dual
Re:MIT OCW:The Society of Mind (Graduate Course by Minsky)
on Friday October 02, 2009 @03:54PM (#857879)
Society of the mind was one of the best books I read when i read some years ago!
Receiver Operating Characteristic (ROC) Literature Research
The Emergence of French Statistics
Machine Learning Theory
Statistical Learning Theory : Models, Concepts and Results (Notes by Schoelkopf)
Who is afraid of non-convex loss functions?
PAC-Bayesian Supervised Classification (Thermodynamics of statistical learning)
Re: Information Theory in Computer Vision and Pattern Recognition
on Friday October 02, 2009 @10:36AM (#857081)
This post is supposed to be suggestive. ;-)