Search Results - subject:"AdaBoost"

Multi-factor stock selection model based on Adaboost

Zhang, Ru; Cao, Tong - In: Business and Economic Research : BER 8 (2018) 4, pp. 119-129

Persistent link: https://www.econbiz.de/10012028303

The success of AdaBoost and its application in portfolio management

Chuan, Yijian; Zhao, Chaoyi; He, Zhenrui; Wu, Lan - In: International journal of financial engineering 8 (2021) 2, pp. 1-31

Persistent link: https://www.econbiz.de/10012662225

Cost-sensitive multi-class adaboost for understanding driving behavior based on telematics

So, Banghee; Boucher, Jean-Philippe; Valdez, Emiliano - In: ASTIN bulletin : the journal of the International … 51 (2021) 3, pp. 719-751

Persistent link: https://www.econbiz.de/10012656719

Hybrid geometric sampling and AdaBoost based deep learning approach for data imbalance in E-commerce

Dhote, Sunita; Vichoray, Chandan; Pais, Rupesh; Baskar, S. - In: Electronic commerce research 20 (2020) 2, pp. 259-274

Persistent link: https://www.econbiz.de/10012224080

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

Purpose Email is a rapid and cheapest medium of sharing information, whereas unsolicited email (spam) is constant trouble in the email communication. The rapid growth of the spam creates a necessity to build a reliable and robust spam classifier. This paper aims to presents a study of...

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

Dynamic prediction of relative financial distress based on imbalanced data stream : from the view of one industry

Sun, Jie; Zhou, Mengjie; Ai, Wenguo; Li, Hui - In: Risk management : a journal of risk, crisis and disaster 21 (2019) 4, pp. 215-242

Persistent link: https://www.econbiz.de/10012125341

Comparison of Three Classification Algorithms for Predicting Pm2.5 in Hong Kong Rural Area

Zhao, Yin; Hasan, Yahya Abu - In: Journal of Asian Scientific Research 3 (2013) 7, pp. 715-728

mining, etc. This paper builds PM2.5 concentration level predictive models based on ANN, Boosting (i.e. AdaBoost.M1), k-NN by … by multiple cross validation. According to 100 replications of 10-fold cross validation, the testing accuracy of AdaBoost …

Persistent link: https://www.econbiz.de/10010883684

AdaBoost models for corporate bankruptcy prediction with missing data

Zhou, Ligang; Lai, Kin Keung - In: Computational economics 50 (2017) 1, pp. 69-94

Persistent link: https://www.econbiz.de/10011762211

The P2P risk assessment model based on the improved AdaBoost-SVM algorithm

Yang, Jianhui; Luo, Dongsheng - In: Inventi impact: microfinance & banking (2017) 4, pp. 177-185

Persistent link: https://www.econbiz.de/10011814721

Use of acceleration data for transportation mode prediction

Shafique, Muhammad; Hato, Eiji - In: Transportation 42 (2015) 1, pp. 163-188

(AdaBoost), decision tree and random forests. The results of this exercise suggest that using a 125-point moving average during …

Persistent link: https://www.econbiz.de/10011155171