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Learning approaches

Culturing Learning Approaches in Multicultural Class Rooms

Culturing Learning Approaches in Multicultural Class Rooms

... Several studies have recognised that both language and culture are “intricately intertwined” (Brown, 2001). Learners are unconsciously and unintentionally exposed to the culture of a particular subject during its ...

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The predominant learning approaches of medical students

The predominant learning approaches of medical students

... the learning ap- proach among health sciences students which included medical students in a medical college in Nepal, he found that majority of the medical students adopted the deep learning as their ...

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A Survey on Deep Learning Approaches in Healthcare

A Survey on Deep Learning Approaches in Healthcare

... measurable learning approaches regularly need to first perform highlight designing to acquire powerful and heartier highlights from that information, and after that build forecast or clustering models over ...

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Improving Machine Learning Approaches to Coreference Resolution

Improving Machine Learning Approaches to Coreference Resolution

... Machine learning approaches to this prob- lem have been reasonably successful, operating pri- marily by recasting the problem as a classification task ...

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Statistical learning approaches for discriminant features selection

Statistical learning approaches for discriminant features selection

... statistical learning approaches and ranking their most discriminant pixels we are able to identify features that most differ between the group samples, such as: hair, eyebrow, eyes, nose, upper lip, chin ...

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Learning Approaches for Teaching Interaction Design

Learning Approaches for Teaching Interaction Design

... from learning and teaching design to practicing ...and learning approaches that can be harnessed for improving the process of teaching interaction ...

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A Survey on Different Machine Learning Approaches

A Survey on Different Machine Learning Approaches

... Machine Learning is must, as machine learning is the base of ...Machine learning is helpful for decision making and predicting accurate and precise ...machine learning. Machine learning ...

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Exploring Representation Learning Approaches to Domain Adaptation

Exploring Representation Learning Approaches to Domain Adaptation

... representation learning approach to domain adaptation yields state-of-the-art results in POS tagging ...representation learning tech- niques we use are unsupervised, meaning that they provide the same set ...

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Machine Learning Approaches to Text Segmentation

Machine Learning Approaches to Text Segmentation

... machine learning approaches are introduced for text ...inductive learning in the form of a decision tree and the second uses the Naive Bayes ...for learning both the decision tree and the ...

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Student Learning Approaches in a Ghanaian Medical School

Student Learning Approaches in a Ghanaian Medical School

... medical learning (13), a deep approach to learning could be presumed among students who pursued understanding as the goal for their ...idiosyncratic learning preferences, any attempt to inculcate in ...

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Active Learning Approaches For Electronics Engineering Subjects

Active Learning Approaches For Electronics Engineering Subjects

... Active learning is importance among Electronic Engineering student to enhance their generic ...active learning was a key component in diversity training environments, both in a classroom and in a ...

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Machine Learning Approaches to Image Deconvolution

Machine Learning Approaches to Image Deconvolution

... certain learning rate until convergence (which similar to the patch-wise MLP takes about two weeks on GPU), we continue training with a learning rate reduced by a factor of 10 (for about an additional two ...

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Is that you? Metric Learning Approaches for Face Identification

Is that you? Metric Learning Approaches for Face Identification

... to calculate the ROC curve and accuracy for our method. Note that each published result combines its own feature extraction with its own machine learning technique, making any conclusion harder to draw than in the ...

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Machine Learning Approaches to Predicting Company Bankruptcy

Machine Learning Approaches to Predicting Company Bankruptcy

... Since the discovery of the very first machine learning algorithms, machine learning has unprecedentedly developed. New models emerge out of obscurity. Business companies nowadays are struggling to determine ...

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Application of Deep Learning Approaches in SAR ATR

Application of Deep Learning Approaches in SAR ATR

... those approaches enable significantly improved performance for SAR ...deep learning method in the field of automatic target recognition for SAR images and the nature of the university are verified, which ...

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Online Learning Approaches in Computer Assisted Translation

Online Learning Approaches in Computer Assisted Translation

... We present a novel online learning ap- proach for statistical machine translation tailored to the computer assisted transla- tion scenario. With the introduction of a simple online feature, we are able to adapt ...

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Employers' use and awareness of vocational learning approaches

Employers' use and awareness of vocational learning approaches

... 3.17 The case studies identified that a broad range of training materials are often combined by companies but also reinforce the fact that on-the-job training is the most favoured as well as more flexible approach to ...

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Creative learning approaches for undergraduate self-development

Creative learning approaches for undergraduate self-development

... The body of literature includes discussion of the scientific basis for creativity in education. Seger et al. (2000) measured brain activity when linking verbs to nouns, extrapolating the findings to more complex creative ...

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Learning Approaches for Entrepreneurship Education

Learning Approaches for Entrepreneurship Education

... different! approaches! to! PBL! (Barrow,! 1986;! Jonassen,! 1997;! Hemlo,!1998),!however!little!research!has!been!done!into!the!most!effective!methods!in!terms! of! learner! success! (Huag,! ...

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Machine Learning Approaches for Cancer Analysis

Machine Learning Approaches for Cancer Analysis

... The main contribution of this thesis is to provide a generic pipeline for modeling RNA- Seq data as a supervised or non supervised learning scheme used to obtain meaningful biomarkers in cancer. Starting from ...

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