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Browse Whitepapers - Computer Science by Title
Now showing items 1-10 of 10
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(2011-06-19)• Achieving exascale performance at the end of this decade or the beginning of next decade is essential for progress in science – including progress on problems of major societal impact (such as weather or environmental ...
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(2011-06-19)(i) Achieving exascale performance at the end of this decade or the beginning of next decade is essential for progress in science – including progress on problems of major societal impact (such as weather or environmental ...
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PDF (198kB)
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(2018-07-25)Most languages are given an informal semantics until they are implemented, so the formal semantics comes later. Consequently, there are usually inconsistencies among the informal semantics, the implementation, and the ...
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PDF (835kB)
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(2018-07-25)Most languages are given an informal semantics until they are implemented, so the formal semantics comes later. Consequently, there are usually inconsistencies among the informal semantics, the implementation, and the ...
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PDF (835kB)
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(2017-08-01)A developing field of interest for the distributed systems and applied cryptography community is that of smart contracts: self-executing financial instruments that synchronize their state, often through a blockchain. One ...
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PDF (426kB)
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(2010-07-11)The transmission control protocol (TCP) which is the dominant congestion control protocol at the transport layer is proved to have many performance problems with the growth of the Internet. TCP for instance results in ...
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PDF (276kB)
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PDF (468kB)
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(2015-05-14)In most machine learning problems, we tend to think that training algorithms require more computation time as the number of training samples increases. In this paper we discuss two contexts in which this is not true. In ...
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PDF (227kB)
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(2015-03)Evaluation of summarization tasks is extremely crucial to determining the quality of machine generated summaries. Over the last decade, ROUGE has become the standard automatic evaluation measure for evaluating summarization ...
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PDF (164kB)
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(2015-01-01)We provide a tutorial of the foundations of Uniform Stability and Generalization in Learning according to the MIT class 9.520 Statistical Learning Theory and Applications [2] through the example of Tikhonov Regularization. ...
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Now showing items 1-10 of 10