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Computer multitasking

Known as: Multiprogramming, Interleaved execution, Multi-doing 
In computing, multitasking is a concept of performing multiple tasks (also known as processes) over a certain period of time by executing them… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Natural language processing tasks, such as question answering, machine translation, reading comprehension, and summarization, are… Expand
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Highly Cited
2014
Highly Cited
2014
We investigate architectures of discriminatively trained deep Convolutional Networks (ConvNets) for action recognition in video… Expand
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Review
2010
Review
2010
A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same… Expand
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Highly Cited
2009
Highly Cited
2009
Gephi is an open source software for graph and network analysis. It uses a 3D render engine to display large networks in real… Expand
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Highly Cited
2008
Highly Cited
2008
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing… Expand
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Highly Cited
2001
Highly Cited
2001
In this article we examine the meaning of team process. We first define team process in the context of a multiphase episodic… Expand
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Highly Cited
1998
Highly Cited
1998
  • R. Caruana
  • Encyclopedia of Machine Learning and Data Mining
  • 1998
  • Corpus ID: 45998148
Multitask Learning is an approach to inductive transfer that improves learning for one task by using the information contained in… Expand
Highly Cited
1991
Highly Cited
1991
In the standard economic treatment of the principal-agent problem, compensation systems serve the dual function of allocating… Expand
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Highly Cited
1973
Highly Cited
1973
The problem of multiprogram scheduling on a single processor is studied from the viewpoint of the characteristics peculiar to the… Expand