Results 61 to 70 of about 212,260 (313)
, 2023 Comparison of prediction results on balanced with Random undersampling and balanced with One-SVM-US in group EF.
Jamshid Pirgazi (5508737) +2 more
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ESANN 2021 proceedings, 2021 We introduce a probabilistic algorithm for binary classification based on the SVM through the application of the ANOVA decomposition for multivariate functions to express the logit of the Platt estimate of the posterior probability as a non-redundant sum of functions of fewer variables (partial responses) followed by feature selection with the Lasso ...
Bradley Walters +3 more
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Solid Harmonic Wavelet Bispectrum for Image Analysis
Advanced Science, EarlyView.The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
, 2005 Being among the most popular and efficient classification and regression methods currently available, implementations of support vector machines exist in almost every popular programming language.
Kurt Hornik +5 more
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Ajabeer/SVM-RCE-R-results-Omnibus-dataset: Supplementary Data for SVM-RCE-R with input tables
, 2020 Updated the repository with the input tables used in SVM-RCE ...
Ajabeer
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Climate induced migration and internal displacement in rural India
Discover EnvironmentThis study rigorously explores the profound impacts of climate change on human migration patterns, specifically through the lens of climate-induced forced migration and internal displacement within rural India, as exemplified by Meenakshipuram in Tamil ...
Prasanta Moharaj +2 more
doaj +1 more source
SVM with a neutral class [PDF]
Pattern Analysis and Applications, 2017 In many real binary classification problems, in addition to the presence of positive and negative classes, we are also given the examples of third neutral class, i.e., the examples with uncertain or intermediate state between positive and negative. Although it is a common practice to ignore the neutral class in a learning process, its appropriate use ...
Marek Smieja +2 more
openaire +2 more sources
Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)
Advanced Science, EarlyView.ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang +14 more
wiley +1 more source
CNN-SVM-based parasite egg counting
, 2019 1. trained weights for a CNN network to identify parasite eggs in McMaster fecal floatation microscope images. 2. MATLAB code to take CNN-processed images and extract morphometric parameters, which are then used in conjunction with an SVM classifier to ...
Mingzhai Sun (421973) +4 more
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Implementasi Algoritme Support Vector Machines untuk Klasifikasi Area Terbakar di Lahan Gambut
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2021 Kebakaran hutan telah menjadi bencana tahunan di Indonesia, yang berdampak pada degradasi lahan. Kebakaran hutan banyak terjadi di lahan gambut. Pada bulan Agustus 2019 terdeteksi sebanyak 810 hotspot di Provinsi Jambi.
Edi Saputra, Ulfa Khaira, Zainil Abidin
doaj +1 more source