Search Results - subject:"Support Vector Machine"

Classifying Web Pages by Aimed Nation Using Machine Learning

Tarik, Boudheb; Mahmoud, Djelloul Daouadji; Zakaria, … - In: International Journal of Organizational and Collective … 7 (2017) 1, pp. 20-35

Support Vector Machine in order classify them. They present detailed stages of the procedure. The best experimental result …

Persistent link: https://www.econbiz.de/10012046759

Classification of Sentiment of Reviews using Supervised Machine Learning Techniques

Tripathy, Abinash; Rath, Santanu Kumar - In: International Journal of Rough Sets and Data Analysis … 4 (2017) 1, pp. 56-74

analysis into different polarity groups. Four machine learning algorithms viz., Naive Bayes (NB), Support Vector Machine (SVM …

Persistent link: https://www.econbiz.de/10012047372

Organ-Based Medical Image Classification Using Support Vector Machine

Khachane, Monali Y. - In: International Journal of Synthetic Emotions (IJSE) 8 (2017) 1, pp. 18-30

better results however the training data is less than testing data. Support Vector Machine classifier with linear kernel …

Persistent link: https://www.econbiz.de/10012047566

Gaits Classification of Normal vs. Patients by Wireless Gait Sensor and Support Vector Machine (SVM) Classifier

Nakano, Taro; Nukala, B.T.; Tsay, J.; Zupancic, Steven; … - In: International Journal of Software Innovation (IJSI) 5 (2017) 1, pp. 17-29

authors used 4 different types of Support Vector Machine (SVM) classifiers based on the 6 features extracted from the raw gait …

Persistent link: https://www.econbiz.de/10012047782

Estimation of Cognitive Distraction from Driver Gazing

Mizoguchi, Fumio; Iwasaki, Hirotoshi; Yoshizama, Akira; … - In: International Journal of Software Science and … 9 (2017) 2, pp. 50-60

intervals to generate qualitative data for learning. Finally, the authors generated rules using a Support Vector Machine (SVM). …

Persistent link: https://www.econbiz.de/10012048043

A path planning method of anti-jamming ability improvement for autonomous vehicle navigating in off-road environments

Chen, Jiajia; Jiang, Wuhua; Zhao, Pan; Hu, Jinfang - In: Industrial Robot: An International Journal 44 (2017) 4, pp. 406-415

on fuzzy support vector machine (FSVM) and general regression neural network (GRNN) that is able to provide a solution …

Persistent link: https://www.econbiz.de/10014836010

Distressed Chinese firm prediction with discretized data

Huang, Jun; Wang, Haibo; Kochenberger, Gary - In: Management Decision 55 (2017) 5, pp. 786-807

Purpose The authors develop a framework to build an early warning mechanism in detecting financial deterioration of Chinese companies. Many studies in the financial distress and bankruptcy prediction literature rarely do they examine the impact of pre-processing financial indicators on the...

Persistent link: https://www.econbiz.de/10014935920

A high-dimensional classification approach based on class-dependent feature subspace

Chen, Fuzan; Wu, Harris; Dou, Runliang; Li, Minqiang - In: Industrial Management & Data Systems 117 (2017) 10, pp. 2325-2339

class-dependent integration of a support vector machine (SVM) classifier and associated discriminative features. For each …

Persistent link: https://www.econbiz.de/10014826307

On the construction of quadratic models for derivative-free trust-region algorithms

Verdério, Adriano; Karas, Elizabeth W.; Pedroso, Lucas G. - In: EURO journal on computational optimization 5 (2017) 4, pp. 501-527

Persistent link: https://www.econbiz.de/10011906607

Einsatz von Machine-Learning-Verfahren in amtlichen Unternehmensstatistiken

Dumpert, Florian; Beck, Martin - In: Wirtschafts- und sozialstatistisches Archiv : ASTA ; … 11 (2017) 2, pp. 83-106

Persistent link: https://www.econbiz.de/10011889808