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Gradient-Based Competitive Learning: Theory
Deep learning has been recently used to extract the relevant features for representing input data also in the unsupervised setting. However,...
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Inferring source of learning by chimpanzees in cognitive tasks using reinforcement learning theory
Reinforcement learning is a mathematical framework for learning better choices through trial-and-error. Recent studies revealed that reinforcement...
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Lattice Theory for Machine Learning
AbstractThis article presents a theoretical foundation for constructing a machine learning system based on the binary similarity operation. The key...
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Humanoid robot-empowered language learning based on self-determination theory
With the ability to provide feedback and assistance, humanoid educational robots have been proven effective in assisting students to overcome...
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Analyzing and identifying predictable time range for stress prediction based on chaos theory and deep learning
ProposeStress is a common problem globally. Prediction of stress in advance could help people take effective measures to manage stress before bad...
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Reinforcement Learning Theory
This chapter lays out basic reinforcement learning theory. It introduces the notation used in reinforcement learning literature and provides detailed...
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Using the online education planned based on anderson’s theory to facilitate the practice learning experiences of nursing students: A phenomenological study
This study aimed to explore nursing students' practice skills learning experiences in online education based on Anderson's Theory and to investigate...
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Predictors of blended learning adoption in higher education institutions in Oman: theory of planned behavior
The shift toward electronic learning due to the COVID-19 pandemic has created many opportunities to shape Oman’s learning styles. This study explores...
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Gamifying Experiential Learning Theory
Motivating student learning and enhancing student learning performance can be done by gamifying existing learning systems via adding gaming elements...
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A category theory approach to the semiotics of machine learning
The successes of Machine Learning, and in particular of Deep Learning systems, have led to a reformulation of the Artificial Intelligence agenda. One...
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Learning and teaching sustainable business in the digital era: a connectivism theory approach
Higher education institutions may adopt various approaches to the pedagogic principles and methods used in teaching sustainable development in...
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Exploring learners’ continuous usage decisions regarding mobile-assisted language learning applications: A social support theory perspective
Mobile-assisted language learning (MALL) applications (apps) can provide users with personalized learning content to meet their learning needs....
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Overcoming the barrier of orbital-free density functional theory for molecular systems using deep learning
Orbital-free density functional theory (OFDFT) is a quantum chemistry formulation that has a lower cost scaling than the prevailing Kohn–Sham DFT,...
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Theory and algorithms for learning with rejection in binary classification
We introduce a novel framework for classification with a rejection option that consists of simultaneously learning two functions: a classifier along...
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A personalized learning theory-based cyber-security training exercise
Current enterprises’ needs for skilled cyber-security (CS) professionals have prompted the development of diverse CS training programs and offerings....
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Applications of game theory in deep learning: a survey
This paper provides a comprehensive overview of the applications of game theory in deep learning. Today, deep learning is a fast-evolving area for...
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Mind the gap: challenges of deep learning approaches to Theory of Mind
Theory of Mind (ToM) is an essential ability of humans to infer the mental states of others. Here we provide a coherent summary of the potential,...
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Toward a Brain-Inspired Theory of Artificial Learning
Despite the rapid progress made by artificial neural networks (ANNs), the design of these models makes it unlikely that incremental improvements will...
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Artificial intelligent Global Online Learning (GOL) theory by generalized n-ary fuzzy relation
Following the devastating COVID pandemic, a new global strategy is required to switch from traditional education to blended or online learning...
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Technology-enhanced language learning with null and negative results since 2000: A systematic review based on the activity theory
Research on technology-enhanced language learning (TELL) has been rapidly growing since 2000, of which the attention is mostly on the statistically...
