Results 21 to 30 of about 192,666 (197)
Forgetting in context: The effects of age, emotion, and social factors on retrieval-induced forgetting [PDF]
Memory & Cognition, 2012 Retrieval-induced forgetting (RIF) refers to the finding that selectively retrieving some information impairs subsequent memory for related but nonretrieved information. This occurs both for the individual doing the remembering (i.e., within-individual retrieval-induced forgetting: WI-RIF), as well as for individuals merely listening to those ...
Sarah J, Barber, Mara, Mather
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Recursive least squares for online dynamic identification on gas turbine engines [PDF]
, 2016 Online identification for a gas turbine engine is vital for health monitoring and control decisions because the engine electronic control system uses the identified model to analyze the performance for optimization of fuel consumption, a response to ...
Nalianda, Devaiah +2 more
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RLS with Optimum Multiple Adaptive Forgetting Factors for SoC and SoH Estimation of Li-Ion Battery [PDF]
, 2017 Recursive least square (RLS) with a single forgetting factor has been commonly used for parameter and state estimation of dynamical systems. In many applications such as robotics, electric vehicles, renewable energy systems, and smart-grid, accurate ...
Kanarachos, Stratis +3 more
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Online Sequential Extreme Learning Machine With Dynamic Forgetting Factor
IEEE Access, 2019 Online sequential extreme learning machine (OS-ELM) and its variants provide a promising way to solve data stream problems, but most of them do not take the timeliness of the problems into account, which may degrade the performance of the model. The main
Weipeng Cao +4 more
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BMC Research Notes, 2021 Objectives Strengthening the organizational agility of the hospital can lead to decreased production costs and increased market share, better serving to patients' needs, introduction of new services and increased competitiveness; therefore, this study ...
Zahra Kavosi +5 more
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Network-aware Evaluation Environment for Reputation Systems [PDF]
, 2013 Parties of reputation systems rate each other and use ratings to compute reputation scores that drive their interactions. When deciding which reputation model to deploy in a network environment, it is important to find the most suitable model and to ...
A. Jøsang +8 more
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THE PROBABILITY DETERMINATION OF ERROR-FREE AIR TRAFFIC CONTROLLER OPERATION
Научный вестник МГТУ ГА, 2018 Human error is considered to be a cause or one of the main factors in most accidents. Errors are not a certain type of deviation in behaviour; they are a natural product of all human efforts.
V. E. Borisov +3 more
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Adaptive Forgetting Factor Fictitious Play
, 2011 It is now well known that decentralised optimisation can be formulated as a potential game, and game-theoretical learning algorithms can be used to find an optimum. One of the most common learning techniques in game theory is fictitious play. However fictitious play is founded on an implicit assumption that opponents' strategies are stationary.
Smyrnakis, Michalis, S. Leslie, David
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Evolutionary spectral clustering with adaptive forgetting factor [PDF]
2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010 Many practical applications of clustering involve data collected over time. In these applications, evolutionary clustering can be applied to the data to track changes in clusters with time. In this paper, we consider an evolutionary version of spectral clustering that applies a forgetting factor to past affinities between data points and aggregates ...
Kevin S. Xu, Mark Kliger, Alfred O. Hero
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Energies, 2019 With the popularity of electric vehicles, lithium-ion batteries as a power source are an important part of electric vehicles, and online identification of equivalent circuit model parameters of a lithium-ion battery has gradually become a focus of ...
Xiangdong Sun +4 more
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