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Elektronická kniha

Dark Data : Why What You Don’t Know Matters

Autor: David J. Hand

A practical guide to making good decisions in a world of missing dataIn the era of big data, it is easy to imagine that we have all the information we need to make good decisions. But in fact the data we have are never complete, and may be only the t

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Akademický článek

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Akademický článek

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Text-to-speech synthesis from dark data with evaluation-in-the-loop data selection

Autor: Seki, Kentaro, Takamichi, Shinnosuke, Saeki, Takaaki, Saruwatari, Hiroshi

This paper proposes a method for selecting training data for text-to-speech (TTS) synthesis from dark data. TTS models are typically trained on high-quality speech corpora that cost much time and money for data collection, which makes it very challen

Externí odkaz: http://arxiv.org/abs/2210.14850

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Editorial & Opinion

Dark data limit the biological sciences.

Autor: Orr MC; Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Entomologie, Staatliches Museum für Naturkunde Stuttgart, Stuttgart 70191, Germany. Electronic address: michael.christopher.orr@gmail.com., Albert G; Department of Forest Nature Conservation, University of Göttingen, Göttingen 37073, Germany., Hughes AC; School of Biological Sciences, The University of Hong Kong, Hong Kong 999077, China., Koludarov I; Department of Informatics, Bioinformatics & Computational Biology, Technical University of Munich, Munich 80333, Germany., Luo A; Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100040, China., Qiao H; Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China., Wang MQ; CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization and Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610213, China., Chesters D; Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Department of Informatics, Bioinformatics & Computational Biology, Technical University of Munich, Munich 80333, Germany., Zhu CD; Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100040, China; Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China. Electronic address: zhucd@ioz.ac.cn.

Publikováno v: Science bulletin [Sci Bull (Beijing)] 2024 Oct 20. Date of Electronic Publication: 2024 Oct 20.

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Visual Exploration and Knowledge Discovery from Biomedical Dark Data

Autor: Aggarwal, Shashwat, Singh, Ramesh

Data visualization techniques proffer efficient means to organize and present data in graphically appealing formats, which not only speeds up the process of decision making and pattern recognition but also enables decision-makers to fully understand

Externí odkaz: http://arxiv.org/abs/2009.13059

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