Results 131 to 140 of about 291,981 (317)
Hölder conditions for Gaussian processes with stationary increments [PDF]
, 1968 Michael B. Marcus
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Adaptive Sparse Gaussian Process
IEEE Transactions on Neural Networks and Learning SystemsAdaptive learning is necessary for non-stationary environments where the learning machine needs to forget past data distribution. Efficient algorithms require a compact model update to not grow in computational burden with the incoming data and with the lowest possible computational cost for online parameter updating.
Vanessa Gómez-Verdejo +2 more
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Advanced Functional Materials, EarlyView.[001]‐oriented Sb2Se3 film with improved crystallinity and adjusted composition is achieved via a new thermal treatment approach consisting of preliminary annealing of the Sb layer before its selenization. The findings of this work demonstrate enhanced charge carriers' transportation, a stable performance, and an improvement of H2 generation from ...
Magno B. Costa +7 more
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The expected number of zeros of continuous stationary Gaussian processes [PDF]
, 1963 Kiyosi Itô
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Advanced Functional Materials, EarlyView.Designing stable Ru nanoparticle catalyst remains a critical challenge in electrochemical applications. Here, a strategy is presented to stabilize Ru catalysts by leveraging Ce‐doped ZrO2 supports (ZrCeO2‐x), which enhance catalyst durability and activity through electronic metal‐support interactions and stabilized oxygen vacancies.
Mansu Kim +9 more
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Gaussian processes and Hammerstein integral equations [PDF]
, 1968 Martin Pincus
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Near‐Field Optical Detection of Defect‐Stabilized Metallic Islands at the Verwey Transition in Fe3O4
Advanced Functional Materials, EarlyView.Nanoscale metallic islands emerging across the Verwey transition in thin films of Fe3O4 are imaged using near‐field optical microscopy from mid‐infrared to terahertz frequencies. Recurring across thermal cycles, these disorder‐stabilized islands exhibit distinct transition temperatures.
Kajal Tiwari +4 more
wiley +1 more source
Non-Gaussian Process Dynamical Models
IEEE Open Journal of Signal ProcessingProbabilistic dynamical models used in applications in tracking and prediction are typically assumed to be Gaussian noise driven motions since well-known inference algorithms can be applied to these models. However, in many real world examples deviations
Yaman Kindap, Simon Godsill
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On the Sufficient Statistics for Stationary Gaussian Random Processes [PDF]
, 1961 M. Arató
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Rapid Diagnostics of Reconfigurable Intelligent Surfaces Using Space‐Time‐Coding Modulation
Advanced Functional Materials, EarlyView.A fast reconfigurable‐intelligent‐surface (RIS) diagnostics method is proposed based on spatio‐temporal modulation with orthogonal codes. Theoretical analysis demonstrates a clear distinction in code channel power between normal and faulty elements. Simulations validate its feasibility under high fault ratios and varying receiving angles.
Yi Ning Zheng +7 more
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