Displaying 5 results from an estimated 5 matches for "jmlr".
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jalr
2010 Feb 19
0
"tsne" package for t-SNE dimensionality reduction
...tp://ict.ewi.tudelft.nl/%7Elvandermaaten/t-SNE_files/SupplementalMaterial.pdf>(24MB)
]
3.
L.J.P. van der Maaten. Learning a Parametric Embedding by Preserving
Local Structure. In Proceedings of the Twelfth International Conference
on Artificial Intelligence and Statistics (AISTATS), JMLR W&CP 5:384-391,
2009. [ PDF<http://ict.ewi.tudelft.nl/%7Elvandermaaten/t-SNE_files/Paper.pdf>]
It has a few utility/convenience parameters for tweaking the algorithm and
providing feedback. Be sure to try the example to get an idea of how it
works:
require(tsne)
?tsne
It's curr...
2010 Feb 19
0
"tsne" package for t-SNE dimensionality reduction
...tp://ict.ewi.tudelft.nl/%7Elvandermaaten/t-SNE_files/SupplementalMaterial.pdf>(24MB)
]
3.
L.J.P. van der Maaten. Learning a Parametric Embedding by Preserving
Local Structure. In Proceedings of the Twelfth International Conference
on Artificial Intelligence and Statistics (AISTATS), JMLR W&CP 5:384-391,
2009. [ PDF<http://ict.ewi.tudelft.nl/%7Elvandermaaten/t-SNE_files/Paper.pdf>]
It has a few utility/convenience parameters for tweaking the algorithm and
providing feedback. Be sure to try the example to get an idea of how it
works:
require(tsne)
?tsne
It's curr...
2013 Apr 02
0
softImpute_1.0 uploaded to CRAN
...ons are done using
a specially built block-alternating algorithm, svd.als, that exploits these structures and uses warm starts.
Some of the methods used are described in
Rahul Mazumder, Trevor Hastie and Rob Tibshirani:
Spectral Regularization Algorithms for Learning Large Incomplete Matrices.
JMLR 2010 11 2287-2322
Other newer and more efficient methods that inter-weave the alternating block algorithm steps with imputation steps will
be described in a forthcoming article.
Some of the features of softImpute are
* works with large matrices using sparse matrix methods, or smaller matrices u...
2013 Apr 02
0
softImpute_1.0 uploaded to CRAN
...ons are done using
a specially built block-alternating algorithm, svd.als, that exploits these structures and uses warm starts.
Some of the methods used are described in
Rahul Mazumder, Trevor Hastie and Rob Tibshirani:
Spectral Regularization Algorithms for Learning Large Incomplete Matrices.
JMLR 2010 11 2287-2322
Other newer and more efficient methods that inter-weave the alternating block algorithm steps with imputation steps will
be described in a forthcoming article.
Some of the features of softImpute are
* works with large matrices using sparse matrix methods, or smaller matrices u...
2007 Nov 19
2
Editorial in Notices of the AMS: Open Source Mathematical Software
Hi all,
For those interested, while scanning /. tonight, I came across a posting
which referred to a new editorial in the November 2007 Notices of the
American Mathematical Society:
Open Source Mathematical Software
by David Joyner and William Stein
http://www.ams.org/notices/200710/tx071001279p.pdf
Although brief, it makes for interesting reading.
Regards,
Marc Schwartz