search for: jmlr

Displaying 5 results from an estimated 5 matches for "jmlr".

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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