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Better Document-Level Machine Translation with Bayes’ Rule
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In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 346-360 (2020) (2020)
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A Hybrid MCDM Approach for Large Group Green Supplier Selection with Uncertain Linguistic Information ...
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A Hybrid MCDM Approach for Large Group Green Supplier Selection with Uncertain Linguistic Information ...
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Expanding Subjective Lexicons for Social Media Mining with Embedding Subspaces ...
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Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning ...
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Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning ...
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Learning to Compose Words into Sentences with Reinforcement Learning ...
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A linguistically motivated taxonomy for Machine Translation error analysis
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Wavelet-Based Analysis on the Complexity of Hydrologic Series Data under Multi-Temporal Scales
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In: Entropy ; Volume 13 ; Issue 1 ; Pages 195-210 (2011)
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Abstract:
In this paper, the influence of four key issues on wavelet-based analysis of hydrologic series’ complexity under multi-temporal scales, including the choice of mother wavelet, noise, estimation of probability density function and trend of series data, was first studied. Then, the complexities of several representative hydrologic series data were quantified and described, based on which the performances of four wavelet-based entropy measures used commonly, namely continuous wavelet entropy (CWE), continuous wavelet relative entropy (CWRE), discrete wavelet entropy (DWE) and discrete wavelet relative entropy (DWRE) respectively, were compared and discussed. Finally, according to the analytic results of various examples, some understanding and conclusions about the calculation of wavelet-based entropy values gained in this study have been summarized, and the corresponding suggestions have also been proposed, based on which the analytic results of complexity of hydrologic series data can be improved.
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Keyword:
complexity; entropy; information theory; multi-temporal scale; noise; probability density function; time series analysis; trend; wavelet
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URL: https://doi.org/10.3390/e13010195
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Entropy-Based Wavelet De-noising Method for Time Series Analysis
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In: Entropy ; Volume 11 ; Issue 4 ; Pages 1123-1147 (2009)
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Mathematics and the sciences of the heavens and the earth. - Science and civilisation in China ; 3 : Mathematics and the sciences of the heavens and the earth. -
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MPI für Psycholinguistik
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Detecting Offensive Tweets via Topical Feature Discovery over a Large Scale Twitter Corpus
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In: http://www.cs.cmu.edu/%7Eguangx/papers/cikm12.pdf
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RANKING FUZZY NUMBER BASED ON LEXICOGRAPHIC SCREENING PROCEDURE
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RANKING FUZZY NUMBER BASED ON LEXICOGRAPHIC SCREENING PROCEDURE
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Dialect, transaction cost and intra-national trade: evidence from China
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