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ref: -0 tags: machine learning blog date: 04-22-2021 15:43 gmt revision:0 [head]

Paper notes by Vitaly Kurin

Like this blog but 100% better!

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ref: bookmark-0 tags: neuroengineering blog date: 01-06-2012 03:10 gmt revision:1 [0] [head]

http://infinite-interface.net/ -- a neuroscientist at University of Southern California. Many thoughtful, informative posts.

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ref: bookmark-0 tags: machine_learning research_blog parallel_computing bayes active_learning information_theory reinforcement_learning date: 12-31-2011 19:30 gmt revision:3 [2] [1] [0] [head]

hunch.net interesting posts:

  • debugging your brain - how to discover what you don't understand. a very intelligent viewpoint, worth rereading + the comments. look at the data, stupid
    • quote: how to represent the problem is perhaps even more important in research since human brains are not as adept as computers at shifting and using representations. Significant initial thought on how to represent a research problem is helpful. And when it’s not going well, changing representations can make a problem radically simpler.
  • automated labeling - great way to use a human 'oracle' to bootstrap us into good performance, esp. if the predictor can output a certainty value and hence ask the oracle all the 'tricky questions'.
  • The design of an optimal research environment
    • Quote: Machine learning is a victim of it’s common success. It’s hard to develop a learning algorithm which is substantially better than others. This means that anyone wanting to implement spam filtering can do so. Patents are useless here—you can’t patent an entire field (and even if you could it wouldn’t work).
  • More recently: http://hunch.net/?p=2016
    • Problem is that online course only imperfectly emulate the social environment of a college, which IMHO are useflu for cultivating diligence.
  • The unrealized potential of the research lab Quote: Muthu Muthukrishnan says “it’s the incentives”. In particular, people who invent something within a research lab have little personal incentive in seeing it’s potential realized so they fail to pursue it as vigorously as they might in a startup setting.
    • The motivation (money!) is just not there.

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ref: notes-0 tags: CSV blog article group dynamics steinberg date: 07-05-2010 15:30 gmt revision:1 [0] [head]

Another excellent post from Steinberg regarding treating people as predictable nonlinear fluids. "The system works far better when a column is introduced off-center in front of the door,as demonstrated Mr. Torrens. "It's counterintuitive, but the column sends shock waves through the crowds to break up the congestion patterns." (...) Most traffic jams are emergent phenomena that begin with mistakes from just one or two drivers. According to Horvitz's models, they can actually "un-jam" traffic by calling drivers at a particular location, and giving them very specific instructions: "Move to the left-most lane, and then speed-up to 65."

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ref: life-0 tags: enfranchised mind blog population wealth future date: 07-06-2009 21:43 gmt revision:0 [head]


  • Great article - I've been thinking along the same lines for some time now.
  • The idea is that if we can may everyone rich, then the will not need nor want to have more than 2-3 children. No need to change religion, political structure - just wealth. quote: "So the question then becomes, can the planet support 6-20 billion people each making $120K a year on average?" I hope so!

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ref: bookmark-0 tags: blog resume inspire layout design date: 03-02-2009 16:42 gmt revision:1 [0] [head]


  • great examples of resumes, and the right attitude to go with them.
  • inforgraphic resume - cool!

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ref: bookmark-0 tags: monte_carlo MCMC particle_filter probability bayes filtering biblography date: 0-0-2007 0:0 revision:0 [head]

http://www-sigproc.eng.cam.ac.uk/smc/papers.html -- sequential monte carlo methods. (bibliography)