Results 11 to 20 of about 142,623 (210)
The Classification of Rice Blast Resistant Seed Based on Ranman Spectroscopy and SVM
Molecules, 2022 Rice blast is a serious threat to rice yield. Breeding disease-resistant varieties is one of the most economical and effective ways to prevent damage from rice blast.
Yan He +4 more
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Complexity, 2021 The safety problem of the slope has always been an important subject in engineering geology, which has a wide range of application background and practical significance in reality.
Fei Li, Hongyun Zhang
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Parallel Support Vector Machine Algorithm Based on Clustering and WOA [PDF]
Jisuanji kexue, 2022 Aiming at the problems of parallel support vector machine(SVM) being sensitive to redundant data,poor parameter optimization ability and load imbalance in parallel process in the big data environment,a parallel support vector machine algorithm—MR-KWSVM ...
LIU Wei-ming, AN Ran, MAO Yi-min
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Analisis Sentimen Tweet Tentang UU Cipta Kerja Menggunakan Algoritma SVM Berbasis PSO
JISKA (Jurnal Informatika Sunan Kalijaga), 2022 Support Vector Machine (SVM) is one of the most widely used classification algorithms for sentiment analysis and has been shown to provide satisfactory performance.
Trifebi Shina Sabrila +2 more
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Komparasi Metode Multi Layer Perceptron (MLP) dan Support Vector Machine (SVM) untuk Klasifikasi Kanker Payudara [PDF]
, 2022 ABSTRAKPenyebab kematian utama saat ini di dunia salah satunya dikarenakan oleh penyakit kanker. Menurut data Globocan 2018, dengan tingkat kematian rerata 17 per 100.000 jiwa dan insiden sebanyak 2,1 per 100.000 jiwa untuk kanker payudara yang menyerang
RIKA ROSNELLY +7 more
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Transport, 2011 A support vector machine is a machine learning method based on the statistical learning theory and structural risk minimization. The support vector machine is a much better method than ever, because it may solve some actual problems in small samples ...
Yanrong Hu, Chong Wu, Hongjiu Liu
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Performance of cumulus and granulosa cell support vector machine (SVM). [PDF]
, 2016 Performance of cumulus and granulosa cell support vector machine (SVM).
Rehannah Borup (164896) +6 more
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Support Vector Machines (SVM) as a Technique for Solvency Analysis [PDF]
SSRN Electronic Journal, 2008 This paper introduces a statistical technique, Support Vector Machines (SVM), which is considered by the Deutsche Bundesbank as an alternative for company rating. A special attention is paid to the features of the SVM which provide a higher accuracy of company classification into solvent and insolvent. The advantages and disadvantages of the method are
Laura Auria, Rouslan A. Moro
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Workflow of the Support Vector Machine (SVM) algorithm implementation. [PDF]
, 2013 (A) Vectorization step for each project in the database. (B) Learning step using the Support Vector Machine (SVM) algorithm with the training sets. (C) Prediction of project classification.
Alex Zhavoronkov (347712) +1 more
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PREDIKSI TINGKAT PEMAHAMAN MATERI PESERTA DIDIK DALAM PEMBELAJARAN ONLINE MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM [PDF]
, 2022 ABSTRAK Nurul Hikmah Djano, 2022, “Prediksi Tingkat Pemahaman Materi Peserta Didik dalam Pembelajaran Online Menggunakan Algoritma Support Vector Machine (SVM)”.
DJANO, NURUL HIKMAH
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