Results 11 to 20 of about 143,234 (261)

On the extrapolation estimates [PDF]

open access: yesMathematical Inequalities & Applications, 2003
Summary: We present elementary proofs of precise Yano's type extrapolation estimates on infinite measure space recently proved by \textit{M. J. Carro} [J. Funct. Anal. 174, No. 1, 155--166 (2000; Zbl 0962.42014)].
Gogatishvili, Amiran, Sobukawa, Takuya
openaire   +2 more sources

Extrapolation is not the same as interpolation

open access: yesMachine Learning, 2023
AbstractWe propose a new machine learning formulation designed specifically for extrapolation. The textbook way to apply machine learning to drug design is to learn a univariate function that when a drug (structure) is input, the function outputs a real number (the activity): f(drug) $$\rightarrow$$ → activity ...
Yuxuan Wang, Ross D. King
openaire   +2 more sources

Extrapolation in NLP [PDF]

open access: yesProceedings of the Workshop on Generalization in the Age of Deep Learning, 2018
We argue that extrapolation to examples outside the training space will often be easier for models that capture global structures, rather than just maximise their local fit to the training data. We show that this is true for two popular models: the Decomposable Attention Model and word2vec.
Mitchell, Jeff   +3 more
openaire   +2 more sources

Kernel extrapolation

open access: yesNeurocomputing, 2006
We present a framework for efficient extrapolation of reduced rank approximations, graph kernels, and locally linear embeddings (LLE) to unseen data. We also present a principled method to combine many of these kernels and then extrapolate them. Central to our method is a theorem for matrix approximation, and an extension of the representer theorem to ...
S. V. N. Vishwanathan   +3 more
openaire   +4 more sources

Predictive performance and verification of physiologically based pharmacokinetic model of propylthiouracil

open access: yesFrontiers in Pharmacology, 2022
Background: Propylthiouracil (PTU) treats hyperthyroidism and thyroid crisis in all age groups. A variety of serious adverse effects can occur during clinical use and require attention to its pharmacokinetic and pharmacodynamic characteristics in various
Chaozhuang Shen   +7 more
doaj   +1 more source

Dose rationale for gabapentin and tramadol in pediatric patients with chronic pain

open access: yesPharmacology Research & Perspectives, 2023
Despite off‐label use, the efficacy and safety of gabapentin and tramadol in pediatric patients (3 months to
Paul Healy   +5 more
doaj   +1 more source

The Calcutta Chromosome: An Acknowledgement of Indigenous Caliber and Extrapolation upon the History of Malaria Parasite Discovery

open access: yesRUDN Journal of Studies in Literature and Journalism, 2021
Amitav Ghosh novel The Calcutta Chromosome: a Novel of Fevers, Delirium and Discovery is considered, - an outstanding literary work in which the writer reveals a discourse of science versus counter-science from the earlier world of social, cultural and ...
Manoj Kumar Pathak
doaj   +1 more source

The Catastrophe of Electric Vehicle Sales

open access: yesMathematics, 2017
Electric vehicles have undergone a recent faddy trend in the United States and Europe, and several recent publications trumpet the continued rise of electric vehicles citing steadily-climbing monthly vehicle sales.
Timothy Sands
doaj   +1 more source

Introduction of Interpolation and Extrapolation Model in Lanczos-type Algorithms A13/B6 and A13/B13 to Enhance their Stability

open access: yesJournal of Mathematical and Fundamental Sciences, 2018
A new method to treat the inherent instability of Lanczos-type algorithms is introduced. It enables us to capture the properties of the sequence of iterates generated by a Lanczos-type algorithm by interpolating on this sequence of points.
Maharani   +2 more
doaj   +1 more source

A critical view on the suitability of machine learning techniques to downscale climate change projections: Illustration for temperature with a toy experiment

open access: yesAtmospheric Science Letters, 2022
Machine learning is a growing field of research with many applications. It provides a series of techniques able to solve complex nonlinear problems, and that has promoted their application for statistical downscaling. Intercomparison exercises with other
Alfonso Hernanz   +3 more
doaj   +1 more source

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