Results 1 to 10 of about 8,983,281 (256)
A probabilistic interpretation of the constant gain learning algorithm [PDF]
Bulletin of Economic Research, 2020 AbstractThis paper proposes a novel interpretation of the constant gain learning algorithm through a probabilistic setting with Bayesian updating. The underlying process for the variable being estimated is not specified a priori through a parametric model, and only its probabilistic structure is defined.
Michele Berardi
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Heterogeneous experience and constant-gain learning
Journal of Economic Dynamics and Control, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
John Duffy, Michael Shin
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DRL-Based Beam Split Alleviation for Movable Antenna-Enabled Near-Field Wideband Communications [PDF]
SensorsNear-field communication is regarded as a key enabling technology for future 6G wireless systems. However, when operating over wide bandwidths, the beam split effect arising from frequency-independent analog phase shifters leads to significant ...
Tingting Zhang +4 more
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IEEE Access, 2019 In this paper, in order to improve the tracking precision and convergence speed of singular systems with measurement noise in the limited interval, an iterative learning control algorithm with learning gain self-regulation is proposed under the condition
Wei Cao, Jinjie Qiao, Ming Sun
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ML/GA-based performance optimization of PBG-enhanced THz microstrip patch antennas on PTFE–SWCNT [PDF]
Scientific ReportsThis study presents the design and optimization of a terahertz (THz) microstrip patch antenna enhanced with photonic bandgap (PBG) structures. The antenna is implemented on a Polytetrafluoroethylene (PTFE) substrate with Single-Wall Carbon Nanotube ...
Samir Brahim Belhaouari +4 more
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Heterogeneity in individual expectations, sentiment, and constant-gain learning [PDF]
Journal of Economic Behavior & Organization, 2020 Abstract This paper uses adaptive learning to understand the heterogeneity of individual-level expectations. We exploit individual Survey of Professional Forecasters data on output and inflation forecasts. We endow all forecasters with the same information set that they would have as economic agents in a benchmark New Keynesian model. Forecasters are,
Stephen J. Cole, Fabio Milani
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Gaussian Process and Deep Learning Atmospheric Correction
Remote Sensing, 2023 Atmospheric correction is the processes of converting radiance values measured at a spectral sensor to the reflectance values of the materials in a multispectral or hyperspectral image. This is an important step for detecting or identifying the materials
Bill Basener, Abigail Basener
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PENERAPAN PEMBELAJARAN REACT TERHADAP KETERAMPILAN BERPIKIR KRITIS SISWA
Jurnal Inovasi Pendidikan Kimia, 2020 Critical thinking skills (CTS) are needed in chemistry learning, especially on solubility and the solubility product constant concept because this concept has contextual, complex characteristics and most of the concepts are obtained through practical ...
Annisa Zahra Ihsani +2 more
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StepNet—Deep Learning Approaches for Step Length Estimation
IEEE Access, 2020 The case of a user walking with a smartphone in an indoor environment is considered. Instead of using traditional pedestrian dead reckoning approaches to estimate the user step-length, we define a deep learning based framework with an activity ...
Itzik Klein, Omri Asraf
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Cognitive adaptation of sonar gain control in the bottlenose dolphin. [PDF]
PLoS ONE, 2014 Echolocating animals adjust the transmit intensity and receive sensitivity of their sonar in order to regulate the sensation level of their echoes; this process is often termed automatic gain control. Gain control is considered not to be under the animal'
Laura N Kloepper +5 more
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