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An efficient FLANN model with CRO-based gradient descent learning for classification

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Multi-stage dynamic ensemble selection using heterogeneous learning algorithms : application on classification problems

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Adversarial robustness for latent models : revisiting the robust-standard accuracies tradeoff

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Credit scoring by one-class classification driven dynamical ensemble learning

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Classifying restatements : an application of machine learning and textual analytics

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A machine learning approach to detection of trade-based manipulations in Borsa Istanbul

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Can machine learning paradigm improve attribute noise problem in credit risk classification?

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Electrocardiogram signal classification and machine learning : emerging research and opportunities

Moein, Sara - 2018

"This book develops an intelligent system to classify electrocardiogram signal classification signals for 4 common … -- Chapter 8. Kinetic gas molecule optimization (KGMO) -- Chapter 9. Classification and feature extraction …

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Machine Learning Models and Algorithms for Big Data Classification : Thinking with Examples for Effective Learning

Suthaharan, Shan - 2016 - 1st ed. 2016

This book presents machine learning models and algorithms to address big data classification problems. Existing machine …

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Deep learning classification : modeling discrete labor choice

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