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Nov 16, 2020 ... Active learning is an efficient approach for mit- igating data dependency when training neural machine translation (NMT) models. In this pa-. While the common approach for col- lecting data in active learning is to select samples close to the classification boundary, better per- formance can be ... Suggested Active Learning Strategies for. Use with ACPE's CPE Activity Types and Bloom's Taxonomy Levels. CPE Activity: KNOWLEDGE. Bloom's Taxonomy. Mar 23, 2021 ... programs that focus on active learning through exploration, play, ... pdf. Chiefs of Ontario. (2012). Our children, our future, our vision ... Active learning refers to a wide array of strategies and techniques that actively engage learners with the material through critical thinking, discussion, ... Download PDF. Article; Open access; Published: 18 March 2020. On-the-fly active learning of interpretable Bayesian force fields for ... Accelerating crystal ... Active learning has been applied to two types of problems in NLP, classification tasks such as text classification (McCallum and Nigam,. 1998) or structured ... Active learning is a technique for on-the-fly human data annotation that aims to sample actively the more informa- tive training data for optimising model ... approach to early childhood education is the belief that active learning is funda- mental to the full development of human poten- tial and that active ... Oct 28, 2014 ... “Active learning” is typically defined by educational researchers as learning that requires students to engage cognitively and meaningfully with ...