Keerthi, S.S. (2002) Efficient Tuning of SVM Hyperparameters Using Radius/Margin Bound and Iterative Algorithms. IEEE Transactions on Neural Networks, 13, 1225-1229.

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the brain's wiring supports the way we think and act. The study, published ...

As the global population ages, supporting older adults in maintaining their cognitive and memory functions has become a pressing concern.

Urban trees have significant ecological and social functions, and generating urban tree canopy (UTC) maps is an effective method for understanding their distribution. However, existing studies ...

A clinical trial conducted in a neonatal intensive care unit has identified a new treatment protocol to improve lung growth and function among preterm infants.

Other iterative methods, like gradient descent — the algorithm used in today’s machine learning models — converge toward the true minimum at a linear rate. Newton’s method converges toward it much ...

The bundle adjustment (BA) algorithm is a widely used nonlinear optimization technique in simultaneous localization and mapping (SLAM) systems. By leveraging the co-view relationships of landmarks ...

Dr. XinXin Fan's paper recently won a best paper award at the 2024 International Conference for Blockchain for its solution on quantum-proofing Ethereum.