Results 181 to 190 of about 248,031 (304)

Water Quality Sensing and Spatio-Temporal Monitoring Structure with Autocorrelation Kernel Methods. [PDF]

open access: yesSensors (Basel), 2017
Vizcaíno IP   +4 more
europepmc   +1 more source

Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation

open access: yesAdvanced Science, EarlyView.
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar   +10 more
wiley   +1 more source

On robustness properties of convex risk minimization methods for pattern recognition [PDF]

open access: yes
The paper brings together methods from two disciplines: machine learning theory and robust statistics. Robustness properties of machine learning methods based on convex risk minimization are investigated for the problem of pattern recognition ...
Christmann, Andreas, Steinwart, Ingo
core  

Multiobjective optimization for model selection in kernel methods in regression. [PDF]

open access: yesIEEE Trans Neural Netw Learn Syst, 2014
You D, Benitez-Quiroz CF, Martinez AM.
europepmc   +1 more source

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

open access: yesAdvanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei   +7 more
wiley   +1 more source

Exponential concentration in quantum kernel methods. [PDF]

open access: yesNat Commun
Thanasilp S, Wang S, Cerezo M, Holmes Z.
europepmc   +1 more source

Stress‐to‐Light Conversion in an Earth‐Abundant Oxide Semiconductor

open access: yesAdvanced Science, EarlyView.
Stress‐to‐light conversion in solids represents a unique photonic functionality, yet it has never been realized in a chemically simple and sustainable material. Here, we show that sustainable semiconductor ZnO exhibits strong near‐infrared (NIR) luminescence under elastic stress when defect‐engineered to stabilize the p‐type state.
Tomoki Uchiyama   +7 more
wiley   +1 more source

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