ADR-Miner: An Ant-based data reduction algorithm for classification by Abdel Salam, Ismail Mohamed Anwar

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Classification in high dimensional data using sparse techniques by Stulumani, Agrippa

Subjects: “…Sparse classification…”
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Preconditioning for feature selection in classification by Pretorius, Jani

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Dataset selection for aggregate model implementation in predictive data mining

Subjects: “…Bias reduction…”
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To what extent should controlled drugs and their classification be reformed like other countries?

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DistilBERT-based Text Classification for Learning Style Identification Based on the Felder-Silverman Model

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Practical science process skills in physics, with special reference to test item assessment and classification by Inal, Aydin

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Classification and analysis of some computer software packages for teaching mathematics

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Pupil and teacher perceptions of the taxonomic classification of Senior Certificate Mathematics Higher Grade examination questions by Norton, David Alan

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An Epileptic Seizure Detection Method from EEG Signals based on a Classifier-Driven Feature Reduction Technique by Kamel, Raymond N.

Subjects: “…Epileptic; EEG Signals; Classifier-Driven; Feature Reduction; Random Forest; Seizure Detection; Classification;…”
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Analysis of Listening and Viewing Texts in the New Istanbul Turkish Language Teaching Textbook for Foreigners according to Goleman's Emotion Classification

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The Behavior Assessment System for Children Third Edition (BASC-3)’s Classification Accuracy for Attention-Deficit/Hyperactivity Disorder (ADHD) in College Students

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Kgolo le tlhopho ya theto ya Sepedi / Growth and classification of Sepedi poetry

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Methods for sugarcane harvest detection using polarimetric SAR by Portnoi, Michael

Subjects: “…Harvest classification…”
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Feature selection for multi-label classification by Contardo-Berning, Ivona E.

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A critical analysis of the tax implications of debt reductions

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Statistical classification procedures for analyisng functional data by Orsmond, Chane

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Visualization as a guidance to classification for large datasets by Atteya, Heba Abdelfattah

“…We compare the classifier performance before and after the dimensionality reduction. Our experiments showed that t-SNE helps improve classification accuracy of NN and KNN on a benchmarking dataset as well as a user-curated dataset on performance of students at our home institution. …”
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