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Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
IEEE

TRUNC: A Transfer Learning Unsupervised Network for Data Clustering

Abstract: There is a demand for effective clustering methods, especially given the increasing complexity of data scenarios in modern applications. Motivated by the limitations of traditional ...
IEEE

An Unsupervised Learning-Based Multidimensional Scaling Approach for Placement and Routing of Monolithic Microwave Integrated Circuit

Abstract: The layout method for Radio Frequency/Monolithic Microwave Integrated Circuit (RF/MMIC) is one of the key components in achieving MMIC design automation. Our work proposes a multi-stage ...