Results 81 to 90 of about 786,949 (131)
Atmosphere, 2018 The effective prediction of storm track (ST) is greatly beneficial for analyzing the development and anomalies of mid-latitude weather systems. For the non-stationarity, nonlinearity, and uncertainty of ST intensity index (STII), a new probabilistic ...
Ming Li, Kefeng Liu
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International Journal of Advanced Robotic Systems, 2019 An adaptive iterative learning control approach based on disturbance estimation has been developed for trajectory tracking of manipulators with uncertain parameters and external disturbances.
Keping Liu +3 more
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A model of Cognitive Capitalism: a preliminary analysis [PDF]
The aim of this paper is to present a first theoretical macro-modelling of cognitive capitalism, by utilizing the French regulation theory approach. With regard to the supply side analysis, we shall emphasize the role played by productivity dynamics: it ...
Fumagalli, Andrea, Lucarelli, Stefano
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Policy interaction, learning and the fiscal theory of prices [PDF]
We investigate both the rational explosive inflation paths studied by McCallum (2001) and the classification of fiscal and monetary policies proposed by Leeper (1991) for stability under learning of rational expectations equilibria (REE).
Evans , George W., Honkapohja, Seppo
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Sequential Event Prediction with Association Rules [PDF]
, 2011 We consider a supervised learning problem in which data are revealed sequentially and the goal is to determine what will next be revealed. In the context of this problem, algorithms based on association rules have a distinct advantage over classical ...
Kogan, Eugene +4 more
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Adversarial scheduling analysis of Game-Theoretic Models of Norm Diffusion. [PDF]
In (Istrate et al. SODA 2001) we advocated the investigation of robustness of results in the theory of learning in games under adversarial scheduling models.
Istrate, Gabriel +2 more
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Nonlinear Analysis, 2019 In this paper, an adaptive learning control approach is presented for the hybrid functional projective synchronization (HFPS) of different chaotic systems with fully unknown periodical time-varying parameters.
Jinsheng Xing
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Convergence in the Finite Cournot Oligopoly with Social and Individual Learning [PDF]
Convergence to the Nash equilibrium in a Cournot oligopoly is a question that recurrently arises as a subject of controversy in economics. The development of evolutionary game theory has provided an equilibrium concept more directly connected with ...
Murat Yildizoglu, Thomas Vallée
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, 2021 Some theories of spatial learning predict that associative rules apply under only limited circumstances. For example, learning based on a boundary has been claimed to be immune to cue competition effects because boundary information is the basis for the formation of a cognitive map, whilst landmark learning does not involve cognitive mapping.
Buckley, Matthew G. +6 more
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IEEE AccessThe experimental identification of an unknown system, and the blind system identification (BSI) methods, allows engineers to establish mathematical models that represent the real system behavior.
C. A. L. Segura
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