i
f757a3bfa9
renormalisation
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Here is a video of a master (https://press.princeton.edu/titles/5669.html ) talking about renormalisation. Which S Mallat has suggested is key to why deep learning works.
2019-11-17 17:46:37 -05:00
i
3a13fb0a2b
the torus trick, applied
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In Simons Foundation’s interview by Michael Hartley Freedman of Robion Kirby, Freedman mentions this paper in which MHF applied RK’s “torus trick” to compression via wavelets.
2019-11-17 17:46:37 -05:00
i
365372f54d
renormalisation
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Stéphane Mallat thinks renormalisation has something to do with why deep nets work.
2019-11-17 17:46:37 -05:00
ZJ
4c2bda91bc
added comentaries from commit messages. more consistent formatting.
2019-11-17 17:46:34 -05:00
ZJ
3bcd979952
added new papers in Machine Learning dir. fixed-up references
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Truncation of Wavelet Matrices
Understanding Deep Convolutional Networks
General self-similarity: an overview
cleanup url files (wrong repo format)
2019-11-17 17:46:30 -05:00
i
637ef4186c
self-similarity by Tom Leinster
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Again on the topic of renormalisation. Dr Leinster has a nice, simple picture of self-similarity.
2019-11-17 17:14:09 -05:00
Chandan Singh
b5614ed1cb
Add new machine learning papers ( #546 )
2019-05-27 19:10:44 -04:00
Paige Bailey
6ce7315e2d
Multiple Narrative Disentanglement: Unraveling Infinite Jest ( #504 )
2018-01-20 11:22:33 -05:00
Arunav Sanyal
15edd14773
Adding the trusting classifiers paper from the Seattle papers we love ( #466 )
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chapter, presented on July 2017.
2017-07-09 16:26:39 -04:00
Eric Leung
6b8377f375
Fix machine learning paper link and spelling ( #419 )
2016-09-29 14:45:45 -07:00
Visgean Skeloru
e1b14ffac3
Updated Random forests paper location
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the old one was not responding and https://www.stat.berkeley.edu/~breiman/papers.html links to new location.
2016-03-05 15:56:22 +01:00
Zachary Jones
d2acf0fc3b
Update to all READMEs for hosted content
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reorganization of so-called historical papers
2015-10-07 15:12:22 -04:00
Kunal Vyas
ef439a32c5
Added Applications of Machine Learning to Location Data
2015-09-10 21:00:03 -04:00
Sean Broderick
b09a9ffeb9
remove paper with prohibitive copyright
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Also, fix readme formatting in two files.
2015-06-17 13:00:13 -04:00
Zachary Jones
72e7c59f29
machine learning additions. sublinear README.
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The Fast Johnson-Lindenstrauss Transform
A Sparse Johnson-Lindenstrauss Transform
Towards a unified theory of sparse dimensionality reduction in Euclidean space
2015-05-30 23:30:36 -04:00
Zachary Jones
b8e2a19afa
Merge in 'tchira/master'
2015-05-30 22:55:29 -04:00
Bryan Cardillo
8c8741f8f4
Add 'Support-Vector Networks' paper.
2015-04-08 19:01:58 -04:00
Bryan Cardillo
16b7c881a8
Add 'Conditional Random Fields' paper.
2015-04-07 21:28:45 -04:00
Tarun Chitra
cb2b1f8ba3
Fixed error with name
2015-02-03 00:28:09 -05:00
Tarun Chitra
d5573dbb45
Adding some seminal and recent papers on dimensionality reduction; I would be willing to give a talk about this topic\!
2015-02-03 00:25:08 -05:00
Ryan Swanstrom
9d4b35f497
Create README.md
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just the initial folder structure
Update README.md
added 3 links
Update README.md
update links to academic sites
2014-04-06 23:04:27 -05:00
