Results 241 to 250 of about 764,789 (277)

Depth perception changes following adaptation to cue-dependent invariants. [PDF]

Sci Rep
Peveri F, Barban F, Canessa A, Sabatini SP.   +3 more
europepmc   +1 more source

The spatial and temporal properties of the contour erasure effect and perceptual filling-in. [PDF]

J Vis
Lin YS, Chen CC, Greenlee MW.
europepmc   +1 more source

FedPLC: Federated Learning with Dynamic Cluster Adaptation for Concept Drift on Non-IID Data. [PDF]

Sensors (Basel)
Zhou Q, Yu Y, Ma J, Obaidat MS, Chang X, Ma M, Sun S.   +6 more
europepmc   +1 more source

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Adaptive Parameter Adaptation in 802.11e

2015 International Conference on Network and Information Systems for Computers, 2015
IEEE 802.11e is an extension for media access control in wireless network. It is used for different Quality of Service requirement for different transmission application. But it assumes that all terminals operate in the same transmission speed. But when terminals use different transmission speeds, the access mechanism, EDCA, can not perform to its ...
Wen-Thong Chang, Yin-Tin Din
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Adapting Self-Adaptive Parameters in Evolutionary Algorithms

Applied Intelligence, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liang, Ko-Hsin, Yao, Xin, Newton, Charles S.   +2 more
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Adaptive parameter identification

IEEE Transactions on Automatic Control, 1972
An extended Kalman filter with a fictitious noise input is developed for tracking time-varying parameters. An adaptation algorithm is used for adjusting the covariance of the fictitious noise according to the magnitude of the measured residuals and applied to the tracking of time-varying VTOL parameters.
H. Kaufman, D. Beaulier
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Adaptive parameter servers

2023
Maschinelles Lernen (ML) ist inzwischen ein essentielles Werkzeug, um Probleme zu lösen, die für Computer traditionell herausfordernd waren, zum Beispiel zur Verarbeitung natürlicher Sprache, für Bilderkennung und zum Generieren von Empfehlungen. Um mit steigenden Datenmengen und Modellkomplexitäten Schritt zu halten, ist für komplizierte ML-Aufgaben ...
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Adaptive parameter robust estimation

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008
In this paper, we describe an adaptive technique for states and parameter estimation involving a combination of two methods, namely the Variable Structure Filter (VSF) and the Extend Kalman Filters (EKF).
Dhafar S. Mohammed, Saeid Habibi, Danil Prokhorov   +2 more
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Optimal adaptive estimation: Structure and parameter adaptation

1970 IEEE Symposium on Adaptive Processes (9th) Decision and Control, 1970
Optimal structure and parameter adaptive estimators have been obtained for continuous as well as discrete data gaussian process models with linear dynamics. Specifically, the essentially nonlinear adaptive estimators are shown to be decomposable (partition theorem) into two parts, a linear non-adaptive part consisting of a bank of Kalman-Bucy filters ...
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Simplified parameter adaptive control

Optimal Control Applications and Methods, 1987
AbstractA simple parameter adaptive controller design methodology is introduced in which steady‐state servo tracking properties provide the major control objective. This is achieved without cancellation of process zeros and hence the underlying design can be applied to non‐minimum phase systems.
Warwick, K., Karam, K. Z., Tham, M. T.
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