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Herman Koene van Dijk (1946 – 24 January 2025) was a Dutch economist who was a consultant at the Research Department of Norges Bank and Professor Emeritus at the Econometric Institute of the Erasmus University Rotterdam, known for his contributions in the field of Bayesian analysis.
Gagné was also involved in applying concepts of instructional theory to the design of computer-based training and multimedia-based learning. [ citation needed ] His work is sometimes summarized as the Gagné assumption : that different types of learning exist, and that different instructional conditions are most likely to bring about these ...
LVQ can be understood as a special case of an artificial neural network, more precisely, it applies a winner-take-all Hebbian learning-based approach.It is a precursor to self-organizing maps (SOM) and related to neural gas and the k-nearest neighbor algorithm (k-NN).
Classical economics focuses on the tendency of markets to move to equilibrium and on objective theories of value. Neo-classical economics differs from classical economics primarily in being utilitarian in its value theory and using marginal theory as the basis of its models and equations. Marxian economics also descends from classical theory.
The Hankel transform is one member of the FHA cycle of integral operators. In two dimensions, if we define A as the Abel transform operator, F as the Fourier transform operator, and H as the zeroth-order Hankel transform operator, then the special case of the projection-slice theorem for circularly symmetric functions states that =.
Applied economics is the application of economic theory and econometrics in specific settings. As one of the two sets of fields of economics (the other set being the core), [1] it is typically characterized by the application of the core, i.e. economic theory and econometrics to address practical issues in a range of fields including demographic economics, labour economics, business economics ...
DeGroot learning refers to a rule-of-thumb type of social learning process. The idea was stated in its general form by the American statistician Morris H. DeGroot; [1] antecedents were articulated by John R. P. French [2] and Frank Harary. [3] The model has been used in physics, computer science and most widely in the theory of social networks ...
Algorithmic learning theory, from the work of E. Mark Gold; [7] Online machine learning, from the work of Nick Littlestone [citation needed]. While its primary goal is to understand learning abstractly, computational learning theory has led to the development of practical algorithms.