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Supervised learning example explained with real-life use case

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.
IEEE

MSD-EMA: Multiscale Decoupled Expectation–Maximization Attention for Polyp Segmentation

Abstract: Automatic polyp segmentation is a crucial technique of computer-aided clinical diagnosis. However, some current polyp segmentation methods cannot accurately extract polyps from colonoscopy ...
IEEE

Expectation-Maximization-Based Information Geometry Approach for Massive MIMO-OFDM Channel Estimation

Abstract: In this paper, we investigate the channel estimation in massive multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. Many channel estimation ...
GitHub

Hetero RL: Heterogeneous Reinforcement Learning

HeteroRL is a novel heterogeneous reinforcement learning framework designed for stable and scalable training of large language models (LLMs) in geographically distributed, resource-heterogeneous ...