Tag: Bayesian optimization

A study evaluating semi-automated clinical CT scans of 139 adult cochleae found that simple diameter measurements estimated sex with moderate ...

Researchers designed an integrated machine learning framework combining recurrent neural networks, gradient boosting, and asynchronous optimization to predict multiday surface ...

A study published in AI in Civil Engineering found that a hybrid machine learning model combining regression trees with random ...

Researchers applied Bayesian optimization to hydrodynamic flow models to determine that a shallow, laterally extended submarine landslide generated the non-seismic ...

A closed-loop workflow combining synchrotron GISAXS, automated scattering analysis, and Gaussian process-driven Bayesian optimization found target-satisfying block copolymer processing conditions ...

A Bayesian-optimized Gaussian process regression framework accurately predicts the splitting tensile strength of concrete containing supplementary cementitious materials using eight ...

A 49-qubit fragment-encoded quantum convolutional neural network running on IBM's Heron r2 processor classified full-resolution images without classical preprocessing.

A new modeling framework applied to a Manitoba agricultural landscape shows that a few well-placed habitat patches can substantially boost ...

An open-source optimization framework developed with CERN has automated accelerator tuning at GSI and FAIR, cutting SIS18 injection losses from ...

A two-stage framework that corrects coarse weather forecasts before predicting solar output halved day-ahead power forecast errors at a 20 ...