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Predicting With Estimated Parameters

1999
Chapters 3 and 4 examined the behavior of pseudo-BLPs. Although the results given there provide an understanding of how linear predictors depend on the spectral density of a stationary random field, they do not directly address the more practically pertinent problem of prediction when parameters of a model must be estimated from the same data that are ...
openaire   +1 more source

Initialized Earth System prediction from subseasonal to decadal timescales

Nature Reviews Earth & Environment, 2021
Doug Smith   +2 more
exaly  

Prediction and projection of heatwaves

Nature Reviews Earth & Environment, 2022
Reto Knutti   +2 more
exaly  

Highly accurate protein structure prediction for the human proteome

Nature, 2021
John Michael Jumper   +2 more
exaly  

A parameter-free KNN for rating prediction

Data & Knowledge Engineering, 2022
Fopa, Medjeu   +3 more
openaire   +1 more source

Highly accurate protein structure prediction with AlphaFold

Nature, 2021
John Michael Jumper   +2 more
exaly  

Improved protein structure prediction using potentials from deep learning

Nature, 2020
John Michael Jumper   +2 more
exaly  

Masked Prediction: A Parameter Identifiability View

Advances in Neural Information Processing Systems 35, 2022
Bingbin Liu   +3 more
openaire   +2 more sources

Prediction models in cancer care†

Ca-A Cancer Journal for Clinicians, 2011
Andrew Vickers
exaly  

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