Results 231 to 240 of about 1,593,883 (356)

The Impact of Smoothness of Kernels and Target Functions on Unsupervised Covariate Shift Adaptation in Rkhs

Elke R. Gizewski, Shuai Lu, Stephanie Mangesius, Hoan D. Nguyen, Sergiy Pereverzyev   +4 more
openalex   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

North Atlantic ventilation change over the past three decades is potentially driven by climate change. [PDF]

Nat Commun
Guo H, Koeve W, Kriest I, Frenger I, Tanhua T, Brandt P, He Y, Xue T, Oschlies A.   +8 more
europepmc   +1 more source

Fast learning rate of multiple kernel learning: Trade-off between sparsity and smoothness [PDF]

, 2013
Taiji Suzuki, Masashi Sugiyama
openalex   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Compensating cortical thickness for cortical folding-related variation. [PDF]

Imaging Neurosci (Camb)
Demirci N, Coalson TS, Holland MA, Van Essen DC, Glasser MF.   +4 more
europepmc   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

A benchmark database of ten years of prospective next-day earthquake forecasts in California from the Collaboratory for the Study of Earthquake Predictability. [PDF]

Sci Data
Serafini F, Bayona JA, Silva F, Savran W, Stockman S, Maechling PJ, Werner MJ.   +6 more
europepmc   +1 more source

On General multilinear square function with non-smooth kernels [PDF]

, 2015
Mahdi Hormozi, Zengyan Si, Qingying Xue
openalex   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source