learning-by-sample approach
A new approach for epileptic seizure detection: sample entropy based feature extraction and extreme learning machine
... as Sample Entropy (SampEn), as a method of feature extraction to the task of classifying three dif- ferent kinds of EEG signals (normal, interictal and ictal) and detecting epileptic ...extreme learning ...
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Teacher and Student-Focused Approaches: Influence of Learning Approach and Self-Efficacy in a Psychology Postgraduate Sample
... surface learning approach to their work employed a student-focused approach to teaching. The results may at first appear to show that postgraduates have an inconsistent attitude towards ...
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Learning resource: Sample client advice letter
... collaborative approach would provide greater control over timelines and costs than litigation, and the openness of the process means it is facilitative of workable future relationships between the parties to a ...
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Online Learning with Bayesian Classification Trees
... line learning algorithm for Bayesian classification trees that tries to overcome the aforementioned limitations, by tak- ing a different ...line learning procedure is a Bayesian approach that itera- ...
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The Sample Complexity of Dictionary Learning
... words” approach, appli- cable to many document related tasks (Shawe-Taylor and Cristianini, ...dictionary learning, and it is natural to choose the dictionary so that the bags of words of documents are ...
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Per-Sample Multiple Kernel Approach for Visual Concept Learning
... Comparison with Different Multiple Kernel Methods. We compare the performance of four multiple kernel meth- ods with the same setting of training/testing partition. Unweighted multiple kernel (UMK) method applies equal ...
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Adversarial samples on android malware detection systems for IoT systems
... adversarial sample generation experiments for the five detection models, the success rates are above 80%, and most of them are close to ...adversarial sample generated by our method is very effective and ...
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The relationships between personality, approaches to learning, and academic success in first-year psychology distance education students
... to learning in a sample of first-year psychology distance ...to learning are the intentions a student has when faced with a learning ...deep approach reflects an intention to understand ...
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Text Emotion Distribution Learning from Small Sample: A Meta Learning Approach
... To investigate the effectiveness of the tensor de- composition method, we use doc2vec (Le and Mikolov, 2014) and InferSent (Conneau et al., 2017) to train sentence vectors on D , and find KNNs of a sample by ...
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A Geometric Approach to Sample Compression
... of sample compression schemes, defined as a pair of mappings for given concept class C: a compression function mapping a C-labeled n-sample to a subsequence of labeled examples and a reconstruction function ...
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Prototype Applications Of Blended Learning On The Lessons Of Project Management Information System (MPSI) In College
... Blended Learning model that is merging model of face-to-face with e-learning model, in order to improve the quality of teaching for the ...blended learning, will be in validation by an expert of ...
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Advanced Machine Learning Approach: Deep Learning
... deep learning is that the two different things are not categorized by using structured / labeled ...deep learning neural networks sends the input (image information) through entirely different layers of the ...
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The Effect Of Blended Learning Approach On Fifth Grade Students’ Academic Achievement In My Beautiful Language Textbook And The Development Of Their Verbal Creative Thinking In Saudi Arabia
... Table 6 shows the value of F statistics (23.381) for fluency skill, the level of significance (0.000) which indicates the statistical significant difference at (α ≤0.05) between the students’ mean scores in the two ...
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Learning Approach as Predictor of Students\u27 Epistemological Development in the Framework of Self-Authorship Theory
... Deep learning approach has also been claimed as the primary goal of higher education institutions (Biggs, 1999), where meta- analysis Richardson et ...that learning approach is consistently ...
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Named Entity Recognition for Telugu Language
... NER for Telugu language is a two tier process.In first step,nouns are identified in given test file.In this step,Maximum Entropy approach is used for identifying nouns.In second step,Named Entities are ...
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The promotion of 'character' and its relationship to retention in higher education
... the approach enabled the students as well as tertiary education academics to consider the multiple realities characterising success on the learning journey (Moss, 2003; Wenger, ...student learning ...
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Relational Matching to Sample Concept Learning in Children
... concept learning in children, in which five students of kindergarten aged 7-8 were concurrently trained with two-choice relational matching-to-sample (RMTS) tasks by using various shapes as stimuli under ...
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Optimal Quantum Sample Complexity of Learning Algorithms
... quantum learning, referring to our survey Arunacha- lam and de Wolf (2017) for more ...on sample complexity, which is a fundamental information-theoretic ...quantity. Sample complexity concerns a ...
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Adult Learning and Small Group Work TCD November Ruth Creighton Regional Placement Facilitator Our Lady s Children s Hospital Crumlin
... Approach to Learning Teacher Characteristics Student Characteristics Learning Environment Learning Styles Learning Approaches Learning Process.. Surface and Deep Learni[r] ...
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Development of Fraction Learning Devices Material by using a Realistic Mathematical Approach to Improve Students’ Learning Outcome in Fourth Grade of Elementary School
... good Learning devices on validity, effectiveness and practicality, (2) to describe improvement in learning outcomes of fourth grade Elementary School students by using realistic mathematical approaches in ...
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