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Beamforming for Maximal Coverage in mmWave Drones: A Reinforcement Learning Approach
Beamforming for Maximal Coverage in mmWave Drones: A Reinforcement Learning Approach
Deep Learning for Zero-day Malware Detection and Classification: A Survey
A Novel Discrete Deep Learning-Based Cancer Classification Methodology
A discrete learning-based intelligent classifier for breast cancer classification
ITL-IDS: Incremental Transfer Learning for Intrusion Detection Systems
ITL-IDS: Incremental Transfer Learning for Intrusion Detection Systems
Discrete learning-based intelligent methodology for heart disease diagnosis
Intelligent Discrete Deep Learning Based Classification Methodology in Chemometrics
Bayesian distance metric learning for discriminative fuzzy c-means clustering
Bayesian distance metric learning for discriminative fuzzy c-means clustering
Discriminative Fuzzy C-Means as a Large Margin Unsupervised Metric Learning
Discriminative Fuzzy C-Means as a Large Margin Unsupervised Metric Learning
Autonomy as Determinant of Prospective Learning A Study of English Language Learners
A Learning Approach to Design Binary Sequences with Good Correlation Properties