Search Results - subject:"Support Vector Machine"

Using support vector machines for measuring democracy

Gründler, Klaus; Krieger, Tommy - 2015

We present a novel approach for measuring democracy, which enables a very detailed and sensitive index. This method is based on Support Vector Machines, a mathematical algorithm for pattern recognition. Our implementation evaluates 188 countries in the period between 1981 and 2011. The Support...

Persistent link: https://www.econbiz.de/10010517028

Democracy and growth : evidence of a new measurement

Gründler, Klaus; Krieger, Tommy - 2015

We present a novel approach for measuring democracy based on Support Vector Machines, a mathematical algorithm for pattern recognition. The Support Vector Machines Democracy Index (SVMDI) is continuously on the 0-1-interval and enables a very detailed measurement of democracy for 188 countries...

Persistent link: https://www.econbiz.de/10011405138

SVM-based techniques for predicting cross-functional team performance : using team trust as a predictor

Zhang, Lianying; Zhang, Xiang - In: IEEE transactions on engineering management : EM 62 (2015) 1, pp. 114-121

Persistent link: https://www.econbiz.de/10010488852

A multi-level text classifier for feedback analysis using tweets to enhance product performance

Balusamy, Balamurugan; Maruli, Thusitha; Thangavelu, … - In: International journal of electronic marketing and … 6 (2015) 4, pp. 315-338

Persistent link: https://www.econbiz.de/10011523825

A discriminative and semantic feature selection method for text categorization

Zong, Wei; Wu, Feng; Chu, Lap Keung; Sculli, Domenic - In: International journal of production economics 165 (2015), pp. 215-222

Persistent link: https://www.econbiz.de/10011309042

A paratactic subjective-objective weighting methods and SVM risk assessment model applied in textile and apparel safety

Wu, Xiongying; Chen, Lihong; Pang, Shuhui; Ding, Xuemei - In: International journal of quality & reliability management 32 (2015) 5, pp. 472-485

Persistent link: https://www.econbiz.de/10011376757

Support vector machine and ROC curves for modeling of aircraft fuel consumption

Wang, Xuhui; Chen, Xinfeng; Bi, Zhuming - In: Journal of management analytics 2 (2015) 1, pp. 22-34

Persistent link: https://www.econbiz.de/10011723308

The application of corporate governance indicators with XBRL technology to financial crisis prediction

Li, Chien-Kuo; Liang, Deron; Lin, Fengyi; Chen, Kwo-Liang - In: Emerging markets finance & trade : a journal of the … 51 (2015), pp. 58-72

Persistent link: https://www.econbiz.de/10011603386

A study of boosted evolutionary classifiers for detecting spam

Trivedi, Shrawan Kumar; Dey, Shubhamoy - In: Global Knowledge, Memory and Communication 69 (2019) 4/5, pp. 269-287

evolutionary classifiers and then with other popular machine learning classifiers (Bayesian, naive Bayes and support vector machine …

Persistent link: https://www.econbiz.de/10014743958

Forecasting the Insolvency of U.S. Banks Using Support Vector Machines (SVM) Based on Local Learning Feature Selection

Papadimitriou, Theophilos - 2019

We propose an Support Vector Machine (SVM) based structural model in order to forecast the collapse of banking …

Persistent link: https://www.econbiz.de/10012905037

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