Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
IEEE

PWLU: Learning Specialized Activation Functions With the Piecewise Linear Unit

Abstract: The choice of activation functions is crucial to deep neural networks. ReLU is a popular hand-designed activation function. Swish, the automatically searched activation function, outperforms ...
ascopubs.org

Linear Federated Learning for Outcome Prediction With Application to Hepatocellular Carcinoma Radiotherapy

Open-Source Hybrid Large Language Model Integrated System for Extraction of Breast Cancer Treatment Pathway From Free-Text Clinical Notes Federated learning (FL) enables multi-institutional predictive ...
PNAS

Asymptotic theory of in-context learning by linear attention

Attention-based architectures are a powerful force in modern AI. In particular, the emergence of in-context learning abilities enables task generalization far beyond the original next-token prediction ...
D Magazine

How Linear Labs and Brad Hunstable Are Revolutionizing The Electric Motor Industry

How Linear Labs and Brad Hunstable Are Revolutionizing The Electric Motor Industry After pioneering live streaming technology, Brad Hunstable joined his father, Fred, in a quest to reinvent ...
Frontiers

Pediatric obstructive sleep apnea diagnosis: leveraging machine learning with linear discriminant analysis

The objective of this study was to investigate the effectiveness of a machine learning algorithm in diagnosing OSA in children based on clinical features that can be obtained in nonnocturnal and ...
Edutopia

Shifting From Linear Learning to a Spiral Approach in Science

“What is the difference between alleles and genes again?” said one of my brightest students. The question came only four weeks after my students had seemingly mastered their heredity tests. What did I ...