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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 ...
Eurogamer

"There were zero expectations for Season 1" - Dispatch studio sounds set on Season 2, but it's got the difficult second album problem to contend with

A second season of Dispatch is being discussed "as seriously as anything" at AdHoc Studio, and the team will sit down any day now and make a decision about it. "People are mad that we haven't told ...
Microsoft

Rethinking Machine Learning Collective Communication as a Multi Commodity Flow problem

Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...
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 ...