Introduction to distributed nearest hash: On further optimizing cloud based distributed knn variant
S Adhikary, S Banerjee - Procedia Computer Science, 2023 - Elsevier
Abstract K-Nearest Neighbors (KNN) are very popular supervised machine learning
algorithm which can be effectively used for both multi-class classification and regression …
algorithm which can be effectively used for both multi-class classification and regression …
Enhancing Memory Utilization For On-Device Training of TinyML Models Utilizing Enhanced Grey Wolf Optimization Pushing State-of-the-Art Limits-TinyWolf
S Adhikary, S Dutta - Available at SSRN 4615955, 2023 - papers.ssrn.com
Training a deep learning model generally requires a huge amount of memory and
processing power. Once trained, the learned model can make predictions very fast with very …
processing power. Once trained, the learned model can make predictions very fast with very …