Results 11 to 20 of about 142,857 (258)
Generalisation and extrapolation [PDF]
All medical research is carried out on selected individuals, although the selection criteria are not always clear. The usefulness of research lies primarily in the generalisation of the findings rather than in the information gained about those particular individuals.
D G, Altman, J M, Bland
openaire +2 more sources
Extrapolation is not the same as interpolation
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
On the extrapolation estimates [PDF]
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
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
Dose rationale for gabapentin and tramadol in pediatric patients with chronic pain
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
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
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
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
Compensation for errors in determining the angle in the flight-navigation complex of the aircraft in case of failure of the satellite navigation system [PDF]
Currently, navigation equipment for long-range aircraft, where the flight is characterized by a long duration and the absence of frequent and abrupt maneuvers, continues to be actively improved.
Eugeni V. AKIMOV +2 more
doaj +1 more source
The Catastrophe of Electric Vehicle Sales
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

