nip_37_data: NIPS word count dataset
In jeek: A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models
Description
Usage
Format
References
Description
This NIPS Conference Papers 1987-2015 Data set is avaiable at UCI Machine Learning Repository.
The original dataset is in the form of a 11463 x 5812 matrix of word counts (11463 words and 5812 conference papers)
Due to the size of the original dataset, it is preprocessed and reduced to a list of two matrices (2900 x 37 and 2911 x 37)
The dataset consists of two tasks (early (up to 2006) and recent (after 2006) NIPS conference papers) with 37 words
Usage
1
Format
a list of two nonnegative integer matrices (1:2900, 1:37) and (1:2911,1:37)
Columns are named with year_paperid and rows are names with word name
References
'Poisson Random Fields for Dynamic Feature Models'. Perrone V., Jenkins P. A., Spano D., Teh Y. W. (2016)
jeek documentation built on May 2, 2019, 12:52 a.m.
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Description Usage Format References
Description
This NIPS Conference Papers 1987-2015 Data set is avaiable at UCI Machine Learning Repository. The original dataset is in the form of a 11463 x 5812 matrix of word counts (11463 words and 5812 conference papers) Due to the size of the original dataset, it is preprocessed and reduced to a list of two matrices (2900 x 37 and 2911 x 37) The dataset consists of two tasks (early (up to 2006) and recent (after 2006) NIPS conference papers) with 37 words
Usage
1 |
Format
a list of two nonnegative integer matrices (1:2900, 1:37) and (1:2911,1:37) Columns are named with year_paperid and rows are names with word name
References
'Poisson Random Fields for Dynamic Feature Models'. Perrone V., Jenkins P. A., Spano D., Teh Y. W. (2016)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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