نتایج جستجو برای: contextualized memorization
تعداد نتایج: 4029 فیلتر نتایج به سال:
Previous studies have demonstrated that people trade off between expending motor effort and memorization when completing a copying task requires looking in different directions to gather information. When information is easy with minimal movement, choose look more frequently rely on less memorization, however, they reduce memory larger (and effortful) shifts of gaze. This paper investigated the...
The purpose of the paper is to study EFL students’ reaction toward concept a speech community reflected in TV series. Three non-English major students were recruited for study. Each student was provided with four different drama clips which represent communities. Speech communities provide L2 learners linguistic and cultural knowledge that helps people socialize others (Schmid, 2016). After par...
The Qur’an is a kalam (word of God) Allah SWT which provides guidance for all mankind. protection has been guaranteed by through human intermediaries in the form memorization to maintain its authenticity. To produce hafidz or hafidzah, certainly, various efforts are made, including appropriate and effective strategies adopted memorizing Qur'an. In Indonesia, there many Pondok Pesantrens famous ...
Background and objective: Identifying factors affecting students' academic achievement and paying attention to them is a step toward sustainable development. The aim of this study is predicting academic achievement through components of critical thinking and some sociodemographic variables. Materials and Method: 114 first-year medical student of Tehran University of Medical Sciences participat...
Deep Neural Networks, often owing to the overparameterization, are shown be capable of exactly memorizing even randomly labelled data. Empirical studies have also that none standard regularization techniques mitigate such overfitting. We investigate whether choice loss function can affect this memorization. empirically show, with benchmark data sets MNIST and CIFAR-10, a symmetric as opposed ei...
Long-tailed visual recognition poses significant challenges to traditional machine learning and emerging deep networks due its inherent class imbalance. Existing reweighting re-sampling methods, although effective, lack a fundamental theory while leaving the paradoxical effects of long tail unsolved, where network failing with head classes under-represented overfitted. In this paper, we investi...
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