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Consistency model

Known as: Strict consistency, Memory consistency, Memory consistency model 
In computer science, consistency models are used in distributed systems like distributed shared memory systems or distributed data stores (such as a… Expand
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Papers overview

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Highly Cited
2016
Highly Cited
2016
We present the Stanford Question Answering Dataset (SQuAD), a new reading comprehension dataset consisting of 100,000+ questions… Expand
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Highly Cited
2011
Highly Cited
2011
Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale… Expand
Highly Cited
2011
Highly Cited
2011
Geo-replicated, distributed data stores that support complex online applications, such as social networks, must provide an… Expand
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Highly Cited
2007
Highly Cited
2007
Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite… Expand
Review
2002
Review
2002
The mixed logit model is considered to be the most promising state of the art discrete choice model currently available… Expand
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Highly Cited
2000
Highly Cited
2000
The tradeoffs between consistency, performance, and availability are well understood. Traditionally, however, designers of… Expand
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Highly Cited
1998
Highly Cited
1998
Scalable shared-memory multiprocessors distribute memory among the processors and use scalable interconnection networks to… Expand
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Review
1996
Review
1996
The memory consistency model of a system affects performance, programmability, and portability. We aim to describe memory… Expand
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Highly Cited
1992
Highly Cited
1992
Relaxed memory consistency models, such as release consistency, were introduced in order to reduce the impact of remote memory… Expand
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Highly Cited
1989
Highly Cited
1989
"A new edition of the definitive guide to logistic regression modeling for health science and other applicationsThis thoroughly… Expand