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Data Driven Geometry for Learning
2015High dimensional covariate information provides a detailed description of any individuals involved in a machine learning and classification problem. The inter-dependence patterns among these covariate vectors may be unknown to researchers. This fact is not well recognized in classic and modern machine learning literature; most model-based popular ...
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Data-driven learning and language learning theories
2015This chapter discusses various language learning theories underpinning data-driven learning, namely the noticing hypothesis, constructivist learning and Vygotskyan sociocultural theories. A variety of pedagogic initiatives are used to illustrate the relationship between data-driven learning and language learning theories.
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A Survey on Active Deep Learning: From Model Driven to Data Driven
ACM Computing Surveys, 2022Peng Liu, Lizhe Wang, Lei Zhao
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Combustion machine learning: Principles, progress and prospects
Progress in Energy and Combustion Science, 2022Matthias Ihme +2 more
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Translation and Data-Driven Learning
Data-driven learning (DDL) is particularly well suited to translator education, providing an adequate pedagogic approach for two related yet distinct learning objectives: the development of translation competence and the learning of foreign languages.openaire +1 more source
A Survey on Deep Learning for Data-Driven Soft Sensors
IEEE Transactions on Industrial Informatics, 2021Qingqiang Sun, Zhiqiang Ge
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