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multi-tasking

Overview page. Subjects: Human Resource Management.

Is undertaking several work activities in any one period of working time. The ability to multi-task is sometimes regarded as a key attribute of a flexible, skilled workforce and may be...

See overview in Oxford Index

multi-tasking

Edmund Heery and Mike Noon.

in A Dictionary of Human Resource Management

P ublished online June 2017 .

Reference Entry. Subjects: Human Resource Management. 59 words.

is undertaking several work activities in any one period of working time. The ability to multi-task is sometimes regarded as

Go to Oxford Reference »  home page

multi-tasking

Edmund Heery and Mike Noon.

in A Dictionary of Human Resource Management

January 2008; p ublished online January 2008 .

Reference Entry. Subjects: Human Resource Management. 59 words.

is undertaking several work activities in any one period of working time. The ability to multi-task is sometimes regarded as

Go to Oxford Reference »  home page

multi-tasking

Overview page. Subjects: Human Resource Management.

Is undertaking several work activities in any one period of working time. The ability to multi-task is sometimes regarded as a key attribute of a flexible, skilled workforce and may be...

See overview in Oxford Index

An overview of multi-task learning

Yu Zhang and Qiang Yang.

in National Science Review

January 2018; p ublished online September 2017 .

Journal Article. Subjects: Medicine and Health; Science and Mathematics. 10414 words.

Abstract

As a promising area in machine learning, multi-task learning (MTL) aims to improve the performance of multiple related learning tasks by leveraging...

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Multi-population GWA mapping via multi-task regularized regression

Kriti Puniyani, Seyoung Kim and Eric P. Xing.

in Bioinformatics

June 2010; p ublished online June 2010 .

Journal Article. Subjects: Bioinformatics and Computational Biology. 7232 words.

Motivation: Population heterogeneity through admixing of different founder populations can produce spurious associations in genome- wide association studies that are linked to...

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Speaker Verification for Multi-Task Interactions

Yang Cai, Xiaoyu Li, Zhenjiang Gong and Tania Ros Codina.

in Interacting with Computers

March 2014; p ublished online October 2013 .

Journal Article. Subjects: Human-Computer Interaction. 5327 words.

Human–computer interactions often involve multiple tasks such as navigation, searching, conversation and data retrieving. It is a challenge to identify the user in multi-tasking situations....

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Generative Neural Networks for Multi-task Life-Long Learning

John Reeder and Michael Georgiopoulos.

in The Computer Journal

March 2014; p ublished online October 2013 .

Journal Article. Subjects: Computer Science. 0 words.

Multi-task learning (MTL) is an established method of inducing bias in neural network learning. It has been used as a method of knowledge transfer in sequential learning tasks, and as a...

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A Bayesian group sparse multi-task regression model for imaging genetics

Keelin Greenlaw, Elena Szefer, Jinko Graham, Mary Lesperance and Farouk S. Nathoo.

in Bioinformatics

August 2017; p ublished online April 2017 .

Journal Article. Subjects: Bioinformatics and Computational Biology. 6462 words.

Abstract

Motivation

Recent advances in technology for brain imaging and high-throughput genotyping have motivated...

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multi-access/multi-tasking

Allan Beaver.

in A Dictionary of Travel and Tourism

P ublished online December 2012 .

Reference Entry. Subjects: Travel and Holiday. 27 words.

Simultaneous use of a computer by two or more operators, possible because the computer has been designed to undertake more

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Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins

Yanjun Qi, Oznur Tastan, Jaime G. Carbonell, Judith Klein-Seetharaman and Jason Weston.

in Bioinformatics

September 2010; p ublished online September 2010 .

Journal Article. Subjects: Bioinformatics and Computational Biology. 6262 words.

Motivation: Protein–protein interactions (PPIs) are critical for virtually every biological function. Recently, researchers suggested to use supervised learning for the task of...

Go to Oxford Journals »  full text: open access   » abstract