Data‐based iterative learning mechanism for unknown input‐output coupling parameters/matrices
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.4827
Abstract: In this paper, we explore how to get the information of input‐output coupling parameters (IOCPs) for a class of uncertain discrete‐time systems by using iterative learning technique. Firstly, by taking advantage of repetitiveness of control… read more here.
Keywords: learning scheme; learning; iterative learning; input output ... See more keywords
Distributed Learning Automata-based S-learning scheme for classification
Sign Up to like & getrecommendations! Published in 2019 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-019-00848-6
Abstract: This paper proposes a novel classifier based on the theory of Learning Automata (LA), reckoned to as PolyLA. The essence of our scheme is to search for a separator in the feature space by imposing… read more here.
Keywords: learning scheme; based learning; classification; learning automata ... See more keywords
An Ensemble Learning Scheme for Indoor-Outdoor Classification Based on KPIs of LTE Network
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2914451
Abstract: Wireless Big Data has aroused extensive attention, as mass mobile devices have been developed and deployed for the upcoming 5G era. The context information of these devices is of importance for personalized services in a… read more here.
Keywords: ensemble learning; learning scheme; indoor outdoor; scheme indoor ... See more keywords
A Supervised Learning Scheme for Evaluating Frequency Nadir and Fast Response Reserve in Ancillary Service Market
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3096962
Abstract: Power system operators evaluate the frequency security of the system by predicting the frequency nadir, which is assumed to indicate the impact of a sudden loss of a generating resource. Recently, frequency nadir prediction has… read more here.
Keywords: system; response; learning scheme; frequency ... See more keywords
Bayesian learning scheme for sparse DOA estimation based on maximum-a-posteriori of hyperparameters
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Electrical and Computer Engineering"
DOI: 10.11591/ijece.v11i4.pp3049-3058
Abstract: In this paper, the problem of direction of arrival estimation is addressed by employing Bayesian learning technique in sparse domain. This paper deals with the inference of sparse Bayesian learning (SBL) for both single measurement… read more here.
Keywords: learning scheme; sparse doa; estimation; scheme sparse ... See more keywords
Comments on “An intelligent CMAC-PD torque controller with anti-over-learning scheme for electric load simulator”
Sign Up to like & getrecommendations! Published in 2018 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/0142331217692029
Abstract: This paper points out problems in a paper which appears in the Transactions of the Institute of Measurement and Control entitled “An intelligent CMAC-PD torque controller with anti-over-learning scheme for electric load simulator” by Bo… read more here.
Keywords: learning scheme; intelligent cmac; torque controller; anti learning ... See more keywords
Addressing Missing Environmental Data via a Machine Learning Scheme
Sign Up to like & getrecommendations! Published in 2021 at "Atmosphere"
DOI: 10.3390/atmos12040499
Abstract: An important aspect in environmental sciences is the study of air quality, using statistical methods (environmental statistics) which utilize large datasets of climatic parameters. The air-quality-monitoring networks that operate in urban areas provide data on… read more here.
Keywords: addressing missing; learning scheme; machine learning; missing environmental ... See more keywords
Important Risk Factors in Patients with Nonvalvular Atrial Fibrillation Taking Dabigatran Using Integrated Machine Learning Scheme—A Post Hoc Analysis
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Personalized Medicine"
DOI: 10.3390/jpm12050756
Abstract: Our study aims to develop an effective integrated machine learning (ML) scheme to predict vascular events and bleeding in patients with nonvalvular atrial fibrillation taking dabigatran and identify important risk factors. This study is a… read more here.
Keywords: machine learning; learning scheme; patients nonvalvular; analysis ... See more keywords