Results 1 to 10 of about 22,146 (217)
Encoding Prior Knowledge with Eigenword Embeddings [PDF]
Transactions of the Association for Computational Linguistics, 2021 Canonical correlation analysis (CCA) is a method for reducing the dimension of data represented using two views. It has been previously used to derive word embeddings, where one view indicates a word, and the other view indicates its context. We describe a way to incorporate prior knowledge into CCA, give a theoretical justification for it, and test ...
Dominique Osborne +2 more
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CoRR, 2021 Humans and animals have a natural ability to quickly adapt to their surroundings, but machine-learning models, when subjected to changes, often require a complete retraining from scratch. We present Knowledge-adaptation priors (K-priors) to reduce the cost of retraining by enabling quick and accurate adaptation for a wide-variety of tasks and models ...
Mohammad Emtiyaz Khan, Siddharth Swaroop
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Relationship Between Prior Knowledge and Creative Thinking Ability in Chemistry [PDF]
Educational Process: International Journal, 2017 This study aims to determine the relationship between prior knowledge and creative thinking ability of 11th Grade science students. This research is ex post facto.
Dewi Satria Ahmar +3 more
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Enhancing topic-specific prior knowledge of students impacts their outcomes in mathematics
Frontiers in Education, 2023 IntroductionThe aim of this study was to investigate how enhancing topic-specific prior mathematical knowledge of students before introducing new topics impacts their outcomes in mathematics achievements.MethodsA quasi-experimental design was applied to ...
Nawaf Awadh Khallaf Alreshidi
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Improving Low-Resource Neural Machine Translation With Teacher-Free Knowledge Distillation
IEEE Access, 2020 Knowledge Distillation (KD) aims to distill the knowledge of a cumbersome teacher model into a lightweight student model. Its success is generally attributed to the privileged information on similarities among categories provided by the teacher model ...
Xinlu Zhang +3 more
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JPFT (Jurnal Pendidikan Fisika dan Teknologi), 2022 This study aims to determine whether or not using the phyphox application affects student learning outcomes in terms of prior knowledge and student responses.
Yomianus Bura +2 more
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Adapting prior knowledge activation: Mobilisation, perspective taking, and learners’ prior knowledge [PDF]
Computers in Human Behavior, 2011 This study investigates the effects of two prior knowledge activation strategies, namely, mobilisation and perspective taking, on learning. It is hypothesised that the effectiveness of these strategies is influenced by learners' prior domain knowledge.
Sandra A. J. Wetzels +2 more
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Boosting With Prior for Accurate Classification
IEEE Access, 2023 Adaptive Boosting (AdaBoost) based meta learning algorithms generate an accurate classifier ensemble using a learning algorithm with only moderate accuracy guarantees.
Mubasher Baig +5 more
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Does prior knowledge increase or decrease perceived visual complexity of texture images?
Heliyon, 2023 Previous research has shown that the perceived visual complexity of an image is correlated with understandability of the image. It was considered that prior knowledge of the contents of an image makes images easier to understand, and thus reduces ...
Liang Li, Woong Choi
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Prior Knowledge for Part Correspondence [PDF]
Computer Graphics Forum, 2011 AbstractClassical approaches to shape correspondence base their computation purely on the properties, in particular geometric similarity, of the shapes in question. Their performance still falls far short of that of humans in challenging cases where corresponding shape parts may differ significantly in geometry or even topology.
Oliver van Kaick +6 more
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