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Research article

First published 2008-8

Improving supervised learning performance by using fuzzy clustering method to select training data

Donghai Guan, Weiwei Yuan, Young-Koo Lee [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2015-2

A robust subspace classification scheme based on empirical intersection removal and sparse approximation

Yinan Yu, Tomas McKelvey

Integrated Computer-Aided Engineering

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First published 2021-11

Local modeling approach for cross-project defect prediction

Nayeem Ahmad Bhat, Sheikh Umar Farooq

Intelligent Decision Technologies

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Research article

First published 1982-10

A Forecasting Method for Training Effectiveness Analysis

Edward D. Dawdy, John K. Hawley

Proceedings of the Human Factors and Ergonomics Society Annual Meeting

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Research article

First published 2007-2

Optimized database for training neural networks used in non-destructive testing

Szabolcs Gyimóthy, Yann Le Bihan, József Pávó

International Journal of Applied Electromagnetics and Mechanics

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First published 2011-7

Combining similarity in time and space for training set formation under concept drift

Indrė Žliobaitė

Intelligent Data Analysis: An International Journal

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Research article

First published 2018-10

Does Selective Sales Force Training Work?

Yashar Atefi, Michael Ahearne, James G. Maxham [...]

Journal of Marketing Research

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First published 2018-1

Improving semi-supervised self-training with embedded manifold transduction

Ye Tao, Duzhou Zhang, Shengjun Cheng [...]

Transactions of the Institute of Measurement and Control

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First published 2021-03-02

A novel semi-supervised method for classification of power quality disturbance using generative adversarial network

Xianzhong Jian, Xutao Wang

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2020-7

Primary school principals in Ethiopia: Selection and preparation

Tesfaye Gemechu Gurmu

Educational Management Administration & Leadership

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