Results 1 to 10 of about 33,111 (254)
Children’s Non-symbolic and Symbolic Numerical Representations and Their Associations With Mathematical Ability [PDF]
Most empirical evidence supports the view that non-symbolic and symbolic representations are foundations for advanced mathematical ability. However, the detailed development trajectories of these two types of representations in childhood are not very ...
Yanjun Li +6 more
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This study aimed to estimate the extent to which the development of symbolic numerosity representations relies on pre-existing non-symbolic numerosity representations that refer to the Approximate Number System.
Tatiana Tikhomirova +6 more
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SCALE-BOSS-MR: Scalable Time Series Classification Using Multiple Symbolic Representations
Time-Series-Classification (TSC) is an important machine learning task for many branches of science. Symbolic representations of time series, especially Symbolic Fourier Approximation (SFA), have been proven very effective for this task, given their ...
Apostolos Glenis, George A. Vouros
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From Functionalism to Embodiment in Philosophy of Mind [PDF]
In recent decades, Functionalism has become a standard approach towards philosophy of mind and cognitive science, Functionalism is inspired by computer science and against prior theories about mind.
Tohid Hadinejad, Mahdi Behniafar
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VISUAL AND SYMBOLIC REPRESENTATION FORMING: A CASE OF RELATIONAL UNDERSTANDING ON ELEMENTARY STUDENT
This study investigates the process of forming Anna’s visual and symbolic representations at each stage of the development of relational understanding in solving fractional problems.
Mohammad Faizal Amir +2 more
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Production of common sense assumptions is indispensable for political transformations’ social acceptance. Varied contemporary communication tools and systems have been significant throughout history for production of symbols that shape such ...
Sezer Ahmet Kına
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Modeling Content and Context with Deep Relational Learning
Building models for realistic natural language tasks requires dealing with long texts and accounting for complicated structural dependencies. Neural-symbolic representations have emerged as a way to combine the reasoning capabilities of symbolic methods,
Maria Leonor Pacheco, Dan Goldwasser
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Explanations for Neural Networks by Neural Networks
Understanding the function learned by a neural network is crucial in many domains, e.g., to detect a model’s adaption to concept drift in online learning. Existing global surrogate model approaches generate explanations by maximizing the fidelity between
Sascha Marton +2 more
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Understanding the process of reaching consensus or disagreement between the members of a team is critical in many situations. Consensus and disagreement can refer to various aspects, such as requirements that are collectively perceived to be important ...
Alex Doboli, Daniel-Ioan Curiac
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COVID-19: psychosociological phenomenon and implications for nursing
The objective was to reflect on COVID-19 as a phenomenon of social representations and its implications for nursing and health. A theoretical-reflective study, guided by the precepts of social representations.
Rosa Maria Ferreira de Almeida +3 more
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