We should add a linear classifier (logistic regression style) as an alternative to the current MLP in patient-level modeling. Same input format and preprocessing as MLP (patient feature vectors).
OTX classification training recipes currently fine-tune all weights presented in the model. Linear classifier fine-tuning case remains uncovered. That feature request suggests to add linear classifier ...
Researchers at Anthropic, the company behind the Claude AI assistant, have developed an approach they believe provides a practical, scalable method to make it harder for malicious actors to jailbreak ...
Abstract: Sparse linear arrays serve as the fundamental basis for sparse signal processing and have demonstrated remarkable direction-of-arrival (DOA) estimation performance. Due to the merit of ...
Meta has shared more information about how it plans to use AI to catch teens who lie about their age on Instagram. As first reported by Bloomberg, early next year, the company will deploy “adult ...
PR1, W1, T51, F58, SL4, KL3, SM11. This is not a test to crack a code. But you will see a series of letter and number combinations while engaging with the Paralympics in Paris. At the Olympics, there ...
Jeremy has more than 2200 published articles on Collider to his name, and has been writing for the site since February 2022. He's an omnivore when it comes to his movie-watching diet, so will gladly ...
Abstract: In many real classification problems where a limited number of training samples is available, the linear classifiers based on discriminant analysis are unable to deliver accurate results.
1 School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, United States 2 School of Engineering and Applied Sciences, Washington State University Tri-Cities, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback