Results 141 to 150 of about 108,016 (310)
SVM-Maj: a majorization approach to linear support vector machines with different hinge errors
Support vector machines (SVM) are becoming increasingly popular for the prediction of a binary dependent variable. SVMs perform very well with respect to competing techniques. Often, the solution of an SVM is obtained by switching to the dual.
Groenen, P.J.F. +2 more
core
Advanced Functional Materials, EarlyView.Cyclic unloading‐aging‐reloading micro‐tensile tests under various aging durations and temperatures, combined with comprehensive microstructural characterization reveal that the yield point phenomenon in Aluminum‐Carbon (Al‐C) thin films originates from Cottrell atmosphere formation.
Zion Lee +10 more
wiley +1 more source
Comprehensible credit scoring models using rule extraction from support vector machines. [PDF]
In recent years, Support Vector Machines (SVMs) were successfully applied to a wide range of applications. Their good performance is achieved by an implicit non-linear transformation of the original problem to a high-dimensional (possibly infinite ...
Martens, David +3 more
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A Skin‐Like Strain Sensor for Real‐Time Human Motion Detection
Advanced Functional Materials, EarlyView.A skin‐like strain sensor with exceptional flexibility and breathability enables real‐time human motion detection. It offers continuous ECG monitoring and gesture recognition, ensuring high durability and comfort. This innovative design is ideal for wearable applications, combining reliable performance with seamless integration into dynamic ...
Shiqi Song +5 more
wiley +1 more source
Reservoir characterization using support vector machines
, 2005 Reservoir characterization especially well log data analysis plays an important role in petroleum exploration. This is the process used to identify the potential for oil production at a given source.
Wong, K.W. +3 more
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Blood Biomarkers and Surface‐Enhanced Raman Spectroscopy for Gout: A Comprehensive Review
Advanced Functional Materials, EarlyView.Schematic illustrating gout disease progression from asymptomatic hyperuricemia to chronic tophaceous disease, highlighting the limitations of conventional imaging and biochemical diagnostics and the potential of engineered SERS platforms for ultrasensitive blood‐based detection of urate‐related biomarkers across disease stages, with the color gradient
Isuri Perera +6 more
wiley +1 more source
Ultrasmall High‐Entropy Materials: Nanoscale Effects, Synthesis, and Mechanistic Insights
Advanced Functional Materials, EarlyView.This review article focuses on sub‐10 nm high‐entropy materials that combine nanoscale design with complex compositions for next‐generation applications. ABSTRACT Ultrasmall high‐entropy nanomaterials (USHENMs, <10 nm) merge multicomponent chemistry with size‐dependent effects, forming a distinct class of materials with unprecedented properties.
Yueyue He +5 more
wiley +1 more source
Predicting Bankruptcy with Support Vector Machines [PDF]
The purpose of this work is to introduce one of the most promising among recently developed statistical techniques – the support vector machine (SVM) – to corporate bankruptcy analysis.
Rouslan A. Moro +2 more
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Low‐Profile, High‐Gain GRIN RF Lenses via Multi‐Material Vat Photopolymerization
Advanced Functional Materials, EarlyView.We investigate the opportunity of leveraging multi‐material vat photopolymerization printing to manufacture intricate lenses exhibiting permittivity gradients that can increase signal gain in transmitted radiofrequency signals in the X‐ and Ku‐bands. Lenses produced with more distinct low‐loss materials (up to 5) can deliver an 18 dB signal gain with a
Lawrence Romangsuriat +3 more
wiley +1 more source
Support Vector Machines in Combinatorial Chemistry
Measurement + Control, 2001 Matthew W B Trotter +2 more
doaj +1 more source