NRLMF specifications

Unique identifier:
OMICS_13137
Software type:
Package/Module
Restrictions to use:
None
Programming languages:
Python
Computer skills:
Advanced
Requirements:
Numpy
Name:
Neighborhood Regularized Logistic Matrix Factorization
Interface:
Command line interface
Operating system:
Unix/Linux
License:
GNU General Public License version 2.0
Stability:
Stable
Maintained:
Yes

Subtools

  • PyDTI

versioning

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NRLMF distribution

download

NRLMF support

Documentation

Maintainer

  • Yong Liu <>

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Credits

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Publications

Institution(s)

Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), and School of Computer Engineering, Nanyang Technological University, Singapore; Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore

Funding source(s)

This research was supported, in part, by the National Research Foundation, Prime Minister’s Office, Singapore under its IDM Futures Funding Initiative and administered by the Interactive and Digital Media Programme Office (Grant No. MDA/IDM/2012/8/8-2 VOL 01). This research was also supported, in part, by the Competitive Research Grant from the National Research Foundation in Singapore (Grant No. NRF-CRP8-2011-05).

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