Results 301 to 310 of about 6,436,916 (343)

Strategies and Learning Models

Psychometrika, 1959
A class of strategies is defined, each member of which possesses a certain plausibility. If a subject follows any strategy in this class in a two-choice learning experiment of the type dealt with by the Estes model, the subject's long-run behavior will be the same as that predicted by the Estes model.
Bryant, Steven J., Marica, John G.
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Modelling Machine Learning Models

2018
Machine learning (ML) models make decisions for governments, companies, and individuals. Accordingly, there is the increasing concern of not having a rich explanatory and predictive account of the behaviour of these ML models relative to the users’ interests (goals) and (pre-)conceptions (ontologies). We argue that the recent research trends in finding
Raül Fabra-Boluda, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, M. José Ramírez-Quintana   +4 more
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Model-free distributed learning

IEEE Transactions on Neural Networks, 1990
Model-free learning for synchronous and asynchronous quasi-static networks is presented. The network weights are continuously perturbed, while the time-varying performance index is measured and correlated with the perturbation signals; the correlation output determines the changes in the weights.
A, Dembo, T, Kailath
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Multiple Model-Based Reinforcement Learning

Neural Computation, 2002
We propose a modular reinforcement learning architecture for nonlinear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic idea is to decompose a complex task into multiple domains in space and time based on the predictability of the environmental dynamics.
Doya, Kenji, Samejima, Kazuyuki, Katagiri, Ken-ichi, Kawato, Mitsuo   +3 more
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Modeling and Learning Behaviors

2012
International ...
Vasquez, Dizan, Laugier, Christian
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Economists' Models of Learning

Journal of Economic Theory, 2000
Abstract Economic theorists have intensively studied learning in games and decisions over the last decade. This essay puts some of the work in perspective and offers opinions about what still needs to be learned. Journal of Economic Literature Classification Numbers: C73, D83.
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Formal Models of Language Learning

Cognition, 1979
Abstract Research is reviewed that addresses itself to human language learning by developing precise, mechanistic models that are capable in principle of acquiring languages on the basis of exposure to linguistic data. Such research includes theorems on language learnability from mathematical linguistics, computer models of language acquisition from ...
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MODELING ECONOMIC LEARNING AS MODELING

Cybernetics and Systems, 1998
Economists tend to represent learning as a procedure for estimating the parameters of the ''correct'' econometric model. We extend this approach by assuming that agents specify as well as estimate models. Learning thus takes the form of a dynamic process of developing models using an internal language of representation where expectations are formed by ...
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Machine learning methods to model multicellular complexity and tissue specificity

Nature Reviews Materials, 2021
Aaron K Wong, Olga G Troyanskaya
exaly