„Classifier Design“
Suchergebnisse
111 Treffer
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A more computationally efficient bearing fault diagnosis system using deep learning classifiers for rotating machinery health monitoring
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Statistical and neural classifiers: an integrated approach to design (Advances in Pattern Recognition Series). By S.Raudys – Springer, London, 2001 (ISBN 1-85233-297-2) £ 69.00
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Human/Machine – The Future of our Partnership with Machines
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Human/Machine – The Future of our Partnership with Machines
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A novel Gini index decision tree data mining method with neural network classifiers for prediction of heart disease
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A transcriptome-based classifier to identify developmental toxicants by stem cell testing – design, validation and optimization for histone deacetylase inhibitors
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A Strategy for Predicting the Performance of Supervised and Unsupervised Tabular Data Classifiers
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Stability of mental motor-imagery classification in EEG depends on the choice of classifier model and experiment design, but not on signal preprocessing
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Classifier‐Guided Visual Correction of Noisy Labels for Image Classification Tasks
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Current state of ASoC design methodology
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On the Design of Acousto-Ultrasonics - Pattern Recognition Classifiers for the Identification of Material Response States
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Design of an Approximate Radix-2 FFT Butterfly Unit for LSTM-Speech signal-based Parkinson’s Disease Classifier
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Design of stacked ensemble classifier for skin cancer detection
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The Influence of the Design of a Static Multi-Vortex Classifier on the Efficiency Fractionation of Silica Gel Particles
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Designing hybrid classifiers based on general type-2 fuzzy logic and support vector machines
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Design of a robot system for improved stress classification using time–frequency domain feature extraction based on electrocardiogram
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On-line unusual tension recognition system on twister using smooth support vector machine classifier
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Design, synthesis and experimental validation of novel potential chemopreventive agents using random forest and support vector machine binary classifiers
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Automated design of multiple-class piecewise linear classifiers
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UHSC flexural strength prediction using optimized three-phase classifier and improved feature selection