In machine learning and computer vision, M-theory is a learning framework inspired by feed-forward processing in the ventral stream of visual cortex and...

machine-learning research M-theory (learning framework) Machine unlearning Solomonoff's theory of inductive inference – A mathematical theory The definition...

computational learning theory, probably approximately correct (PAC) learning is a framework for mathematical analysis of machine learning. It was proposed...

Vygotsky (1896–1934), emphasized the importance of sociocultural learning in his theory of social constructivism, highlighting how interactions with adults...

The framework draws on research into systems theory, complexity theory, network theory and learning theories. The idea of the Cynefin framework is that...

E-learning theory describes the cognitive science principles of effective multimedia learning using electronic educational technology. In recent applications...

system Learning rule Learning with errors M-Theory (learning framework) Machine learning control Machine learning in bioinformatics Margin Markov chain geostatistics...

Social learning theory is a psychological theory of social behavior that explains how people acquire new behaviors, attitudes, and emotional reactions...

instruction. This theory of learning involved two steps. The theory stipulates that there are several different types or levels of learning. The significance...

framework for learning, like all frameworks, is an organizing structure through which learners and learning can be understood. Intelligence theories and...

The distributional learning theory or learning of probability distribution is a framework in computational learning theory. It has been proposed from...

Experience and Learning. New York: Change Magazine Press. p. 63. Hutton, M. (1980). Learning from action: a conceptual framework, in S. Warner Weil and M. McGill...

Learning theory attempts to describe how students receive, process, and retain knowledge during learning. Cognitive, emotional, and environmental influences...

Hypothesis Theory is a psychological theory of learning developed during the 1960s and 1970s. In the basic experimental framework, the subject is presented...

Comprehensive Framework for the Number of Components of Ensemble Classifiers". arXiv:1709.02925 [cs.LG]. Tom M. Mitchell, Machine Learning, 1997, pp. 175...

in the sensory data. This idea is also present in many other theories of neural learning, such as sparse coding, with the central difference being that...

In computational learning theory, Occam learning is a model of algorithmic learning where the objective of the learner is to output a succinct representation...

education and work. Learning theory (education) Experiential learning Sims, Ronald R (1983). "Kolb's Experiential LearningTheory:A Framework for Assessing Person-Job...

representatives. The Learning Lab methodology was adapted from the change laboratory methodology and is grounded in Cultural Historical Activity Theory. The moral...

Transformative learning, as a theory, says that the process of "perspective transformation" has three dimensions: psychological (changes in understanding...

M., Jordan, M. I., and Jaggi, M. (2017). Cocoa: A general framework for communication-efficient distributed optimization. Journal of Machine Learning...

facilitators of learning. Although Malcolm Knowles proposed andragogy as a theory, others posit that there is no single theory of adult learning or andragogy...

cumulative learning theory is better than the maturational model because of the focus on the hierarchies of capabilities. In this framework, instead of...

form of computational learning theory, which attempts to explain the learning process from a statistical point of view. VC theory covers at least four...

given by the Extreme Theory of Functional Connections (X-TFC) framework, where a single-layer Neural Network and the extreme learning machine training algorithm...

further developed in relation to students learning and working by Kath M. Melia. The benefits of using grounded theory include ecological validity, the discovery...

The SEQUAL framework is systems modelling reference model for evaluating the quality of models. The SEQUAL framework, which stands for "semiotic quality...

Cultural-historical activity theory (CHAT) is a theoretical framework to conceptualize and analyse the relationship between cognition (what people think...

memory-prediction framework is a theory of brain function created by Jeff Hawkins and described in his 2004 book On Intelligence. This theory concerns the...

pedagogical theory specifically derived from analysis of teaching and learning conducted through technology as opposed to the many theories developed in...