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Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Liverpool

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Output 13 of 76 in the submission

Article title

Automated Induction of Heterogeneous Proximity Measures for Supervised Spectral Embedding

Type

D - Journal article

DOI

10.1109/TNNLS.2013.2261613

Title of journal

IEEE Transactions on Neural Networks and Learning Systems

Article number

Volume number

Issue number

First page of article

ISSN of journal

2162-2388

Year of publication

2013

URL

http://dx.doi.org/10.1109/TNNLS.2013.2261613

Number of additional authors

Additional information

This paper presents the first heterogeneous analysis for unknown data without making assumptions about the underlying structure of the data and without user parameterisation or intervention. The paper led to the award of an MRC project (MR/L01078X :"Supporting evidence-based public health interventions using text mining”).

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract