Abstract: As an emerging machine learning task, high-dimensional hyperparameter optimization (HO) aims at enhancing traditional deep learning models by simultaneously optimizing the neural networks’ ...
Abstract: Creating aesthetically pleasing data visualizations remains challenging for users without design expertise or familiarity with visualization tools. To address this gap, we present DataWink, ...
Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...
Harrison Barnes used a visualization tool to help him improve. Illustration: Dan Goldfarb / The Athletic; Logan Riely / NBAE / Getty Images Editor’s note: This story is part of Peak, The Athletic’s ...
When Nick Watkins was a child, he pasted articles about space exploration into scrapbooks and drew annotated diagrams of rockets. He knew this because, years later, he still had the scrapbooks, and ...
At the ongoing VSLive! developer conference in San Diego, Microsoft today announced Visual Studio 2026 Insiders, a new release of its flagship IDE that pairs deep AI integration with stronger ...
Scientists cannot say for certain, but new research suggests that different people’s brains respond similarly when looking at a particular hue. By Kenneth Chang After decades of brain research, ...
In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...
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