Results 111 to 120 of about 806,396 (338)
Empirical and Kernel Estimation of the ROC Curve
Acta Universitatis Lodziensis. Folia Oeconomica, 2015 The paper presents chosen methods for estimating the ROC (Receiver Operating Characteristic) curve, including parametric and nonparametric procedures.
Aleksandra Katarzyna Baszczyńska
doaj
Finite difference methods for the computation of the “Poisson kernel” of elliptic operators [PDF]
, 1968 Pierre Jamet
openalex +1 more source
State‐of‐the‐Art, Insights, and Perspectives for MOFs‐Nanocomposites and MOF‐Derived (Nano)Materials
Advanced Materials, EarlyView.Different approaches to MOF‐NP composite formation, such as ship‐in‐a‐bottle, bottle‐around‐the‐ship and in situ one‐step synthesis, are used. Owing to synergistic effects, the advantageous features of the components of the composites are beneficially combined, and their individual drawbacks are mitigated.
Stefanos Mourdikoudis +6 more
wiley +1 more source
Kernel Methods for Surrogate Modeling
, 2019 This chapter deals with kernel methods as a special class of techniques for surrogate modeling. Kernel methods have proven to be efficient in machine learning, pattern recognition and signal analysis due to their flexibility, excellent experimental performance and elegant functional analytic background.
Santin G., Haasdonk B.
openaire +2 more sources
Van Der Waals Hybrid Integration of 2D Semimetals for Broadband Photodetection
Advanced Materials, EarlyView.Advanced broadband photodetector technologies are essential for military and civilian applications. 2D semimetals, with their gapless band structures, high mobility, and topological protection, offer great promise for broadband PDs. This study reviews the latest advancements in broadband PDs utilizing heterostructures that combine 2D semimetals with ...
Xue Li +9 more
wiley +1 more source
IFAC Proceedings Volumes, 2003 Abstract This paper discusses the Least Squares Support Vector Machine and implementing adaptive on-line algorithms based on recursive least squares algorithms. The algorithms are of moderate complexity and can implement nonlinear decision regions which make it suitable for many applications in communication and signal processing.
openaire +2 more sources
Machine‐Learning‐Aided Advanced Electrochemical Biosensors
Advanced Materials, EarlyView.Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan +9 more
wiley +1 more source
Kernel Approximation Methods for Speech Recognition
Journal of Machine Learning Research, 2017 We study large-scale kernel methods for acoustic modeling in speech recognition and compare their performance to deep neural networks (DNNs). We perform experiments on four speech recognition datasets, including the TIMIT and Broadcast News benchmark tasks, and compare these two types of models on frame-level performance metrics (accuracy, cross ...
May, Avner +11 more
openaire +6 more sources
A discrete Galerkin method for first kind integral equations with a logarithmic kernel [PDF]
, 1988 Kendall Atkinson
openalex +1 more source
Challenges and Opportunities of Upconversion Nanoparticles for Emerging NIR Optoelectronic Devices
Advanced Materials, EarlyView.The special photo‐responsiveness of upconversion nanoparticles has opened up a new path for the advancement of near‐infrared (NIR)‐responsive optoelectronics. However, challenges such as low energy‐conversion efficiency and high nonradiative losses still persist.
Sunyingyue Geng +7 more
wiley +1 more source