TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

Error Analysis of Three-Layer Neural Network Trained With PGD for Deep Ritz Method

Abstract: Machine learning is a rapidly advancing field with diverse applications across various domains. One prominent area of research is the utilization of deep learning techniques for solving ...
GitHub

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction

In autonomous driving, understanding the 3D world over time is critical. Yet, most vision-based 3D Occupancy (VisionOcc) methods only scratch the surface of temporal fusion, focusing on simple ...
IEEE

Learning Error Refinement in Stochastic Gradient Descent-Based Latent Factor Analysis via Diversified PID Controllers

Abstract: In Big Data-based applications, high-dimensional and incomplete (HDI) data are frequently used to represent the complicated interactions among numerous nodes. A stochastic gradient descent ...
GoodNewsNetwork

One Armed Golfer Gets Hole-in-One After Learning the Game Since His Accident: ‘Golf Gave me the Will to Live’

Golfers as old as 103 have hit holes-in-one—but have you ever heard of the feat being achieved by someone with only one arm? But recently, an Irish golfer celebrated sinking his first ever hole-in-one ...