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Class imbalance learning via a fuzzy total margin based support vector machine

Applied Soft Computing, 2015
A fuzzy total margin based support vector machine (FTM-SVM) method to handle the class imbalance learning (CIL) problem in the presence of outliers and noise was presented.The proposed method incorporates total margin algorithm, different cost functions and the proper approach of fuzzification of the penalty into FTM-SVM and formulates them in ...
openaire   +1 more source

Hydrological drought forecasting using multi-scalar streamflow drought index, stochastic models and machine learning approaches, in northern Iran

Stochastic environmental research and risk assessment (Print), 2021
Pouya Aghelpour   +2 more
semanticscholar   +1 more source

Support Vector Machine Classifier via Soft-Margin Loss

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
, Shenglong Zhou
exaly  

Machine learning and data science for low-margin optical networks

2022
Camille Delezoide   +2 more
openaire   +1 more source

Short-term wind speed prediction using hybrid machine learning techniques

Environmental science and pollution research international, 2021
Deepak Gupta, N. Natarajan, M. Berlin
semanticscholar   +1 more source

An updated radiocarbon-based ice margin chronology for the last deglaciation of the North American Ice Sheet Complex

Quaternary Science Reviews, 2020
April S Dalton   +2 more
exaly  

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