sinwave

4 ms·

1.
Brian Beckman: Monads, Monoids, and Mort (2006)(channel9.msdn.com)
1 points by sinwave 11y ago|0 comments
2.
by sinwave 11y ago
Lol - the code example seems to imply that Zuckerburg's user id is 4.
3.
by sinwave 11y ago
Geoffrey Hinton gave results to this effect in a talk about "Dark Knowledge" [1]. Haven't seen any of these results published, though. I think he mentions something in the talk about NIPS rejecting the paper. [1] - https:&#x
4.
GNU funding round and new pricing(diafygi.github.io)
11 points by sinwave 11y ago|1 comments
5.
Edsger Dijkstra on Dutch TV (2000)(youtube.com)
2 points by sinwave 11y ago|1 comments
6.
by sinwave 11y ago
Thought I'd chime in that for image compression (e.g in the JPEG2000 standard), the 2D discrete wavelet transform takes advantage of similar pixel intensities for neighboring pixels at various scales (i.e. "transformed magnitudes
7.
by sinwave 11y ago
May I please have your faster than nlogn sorting algorithm
8.
by sinwave 11y ago
This is actually some really great advice to hear upon graduating from college. Thank you.
9.
by sinwave 11y ago
This is really cool work. There is a lackluster theano feature which allows you to print a flowchart figure for the "computation graph" corresponding to the symbolic representation of your model. @ajtulloch's library provide
10.
by sinwave 12y ago
Yeah, imagining him touring while writing his thesis has been a source of inspiration lately.
11.
Geoffrey Hinton, Yoshua Bengio, and Yann LeCun (Part Two)(thetalkingmachines.com)
5 points by sinwave 12y ago|0 comments
12.
Hallucination with Recurrent Neural Networks (Alex Graves)(youtube.com)
2 points by sinwave 12y ago|0 comments
13.
by sinwave 12y ago
Am I wrong that the title seems to imply something negative about word vectors? But the article is super pumped about them!
14.
by sinwave 12y ago
There is a seemingly dead github repo called "R2D3" by hadley wickham. Wonder what came of that project? https://github.com/hadley/r2d3
15.
by sinwave 12y ago
cf. Searle's Chinese Room argument!
16.
The History of Machine Learning from the Inside Out(thetalkingmachines.com)
2 points by sinwave 12y ago|0 comments
17.
Richard Hamming: Learning to Learn(youtube.com)
174 points by sinwave 12y ago|16 comments
18.
by sinwave 12y ago
I know! According to [1] the minimax algorithm does indeed originate here. And Hamming said in that talk [2][3] that Shannon didn't do anything killer after Info Theory... [1] - http://webdocs.cs.ualberta.ca/~sutton&#x2
19.
by sinwave 12y ago
Alarm radio wakes me up with jazz {run,don't run} make coffee/tidy up/drink coffee shower make breakfast eat breakfast over coffee and {math textbook, video lecture} commute on bike
20.
by sinwave 12y ago
This reminds me of an opinion that I have which I've been looking for an opportunity to flesh out and share. Despite all of the research and engineering that's gone into the user interface (and "experience") of smartphon
21.
by sinwave 12y ago
Incidentally I'm reading Sipser's book for a philosophy course right now.
22.
by sinwave 12y ago
wait - are they actually building aircraft carriers??
23.
The Deep Mind of Demis Hassabis(medium.com)
60 points by sinwave 12y ago|13 comments
24.
by sinwave 12y ago
Hilarious moment at 36:00. Sutton has just finished talking about how in real life, functions that learning agents wish to estimate will often be non-stationary because life is constantly changing. An audience member complains that this is
25.
Rich Sutton: “Myths of Representation Learning” [video](youtube.com)
3 points by sinwave 12y ago|1 comments
26.
by sinwave 12y ago
I suspect that the best way to tackle this problem is to treat "learning to walk" as a reinforcement learning problem. This way you can evaluate actions within each episode rather than waiting until the end of each trial to adjust
27.
by sinwave 12y ago
The "Machine Learning Summer School" lecture series is happening now at UT Austin - I made the call to catch up with family over my winter break rather than attending, but the lecture slides from the presentations look super inter
28.
Evolving Neural Networks [pdf](cs.utexas.edu)
12 points by sinwave 12y ago|2 comments
29.
by sinwave 12y ago
Reminds me of a lyric from an old rap song. "Drive slow, homie". Ready and eager for downvotes on this unproductive comment :p
30.
by sinwave 12y ago
Oof. Had a hilariously similar experience doing data entry at my first internship, which was at a financial services firm. I knew nothing about programming, but I had taken an intro stats class that had a few assignments in R. A super simpl

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