nip_37_data: NIPS word count dataset

In simule: A Constrained L1 Minimization Approach for Estimating Multiple Sparse Gaussian or Nonparanormal Graphical Models

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

data(nip_37_data)

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)

simule documentation built on May 1, 2019, 6:47 p.m.