Decision trees.
Overview
Works: | 45 works in 11 publications in 11 languages |
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Titles
Thermal Transport in Solid State: From First-Principles Simulation to Machine Learning.
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(Electronic resources)
Prediction of Tensile Behaviors of L-Ded 316 Stainless Steel Parts Using Machine Learning.
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Decision and inhibitory trees and rules for decision tables with many-valued decisions
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(Electronic resources)
Comparative analysis of deterministic and nondeterministic decision trees
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(Electronic resources)
Detecting Outliers for Improving the Quality of Incident Duration Prediction.
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A Manufacturing Cost Estimation by Utilizing a Novel Sensor Based Cost Model in a Knowledge Management System.
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(Electronic resources)
Turning Visual Noise into Hardware Efficiency: Systems of Viewer and Content Aware Power-Quality Scalable Embedded Memories with Ecc-Adaptation for Big Videos and Deep Learning.
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(Electronic resources)
Prediction of Coronary Heart Disease Using Metabolite-Based Machine Learning Models.
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Investigation of Fusarium Head Blight and Hessian Fly Resistance QTL and QTL Profiling via Machine Learning in Soft Red Winter Wheat.
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Improving Production Strategies in Unconventional Oil and Gas Reservoirs Through Machine Learning.
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Investigating Multi-Label Classification for Bio-Inspired Design by Using Text Mining and Natural Language Processing.
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Wearable Sensor-Based Sign Language Recognition Using Bio-Acoustic Signals from High-Frequency Accelerometers.
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A Comparative Study on the Expository Writing Abilities of Kindergarten Students with and Without Developmental Language Disorder.
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Internet of Things (IoT) Anomaly Detection Using Machine Learning Techniques: Parameter Optimization and Algorithm Comparison.
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Predicting Undergraduate Student Dropout Using Artificial Intelligence, Big Data and Machine Learning.
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(Electronic resources)
Mapping Kelp Forests Using Existing and Emerging Remote Sensing Techniques.
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(Electronic resources)
Sustainability Conversations for Impact : = Transdisciplinarity on Four Scales.
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(Electronic resources)
Verification and Validation of Machine Learning Safety in Learning-Enabled Autonomous Systems.
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(Electronic resources)
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