Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Neil D. Lawrence"'
Autor:
Neil D. Lawrence, Jessica Montgomery
Publikováno v:
Royal Society Open Science, Vol 11, Iss 8 (2024)
Aspirations for artificial intelligence (AI) as a catalyst for scientific discovery are growing. High-profile successes deploying AI in domains such as protein folding have highlighted AI’s potential to unlock new frontiers of scientific knowledge.
Externí odkaz:
https://doaj.org/article/cf5fdfc286e84b6c96404020aeebe1f1
Publikováno v:
PeerJ Computer Science, Vol 2, p e50 (2016)
We consider the problem of detecting and quantifying the periodic component of a function given noise-corrupted observations of a limited number of input/output tuples. Our approach is based on Gaussian process regression, which provides a flexible n
Externí odkaz:
https://doaj.org/article/54723522b9b948a2888bede1337f8f02
An overview of recent efforts in the machine learning community to deal with dataset and covariate shift, which occurs when test and training inputs and outputs have different distributions.Dataset shift is a common problem in predictive modeling tha
Autor:
Francisco Vargas, Andrius Ovsianas, David Fernandes, Mark Girolami, Neil D. Lawrence, Nikolas Nüsken
In this work we explore a new framework for approximate Bayesian inference in large datasets based on stochastic control. We advocate stochastic control as a finite time and low variance alternative to popular steady-state methods such as stochastic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4852c37c3a392a37f74b266f974e3736
Autor:
Challenger Mishra, Niklas von Wolff, Abhinav Tripathi, Claire N. Brodie, Neil D. Lawrence, Aditya Ravuri, Éric Brémond, Annika Preiss, Amit Kumar
Publikováno v:
Digital Discovery.
AK thanks the Leverhulme Trust for an early career fellowship (ECF-2019-161). AK and CNB thank the UKRI Future Leaders Fellowship (MR/W007460/1). NVW and EB thank the IdEx Université de Paris (ANR-18-IDEX-0001) for funding. CM is supported by a Fell
Publikováno v:
IEEE Transactions on Industrial Informatics. 16:3651-3661
In modern plants, industrial processes typically operate under different states to meet the different requirements of high-quality products. Many monitoring models for industrial processes were constructed based on the prior knowledge (the mechanism'
Publikováno v:
Journal of the Royal Statistical Society Series B: Statistical Methodology. 81:603-627
Summary We propose a class of intrinsic Gaussian processes (GPs) for interpolation, regression and classification on manifolds with a primary focus on complex constrained domains or irregularly shaped spaces arising as subsets or submanifolds of R, R
Autor:
Neil D. Lawrence
From a renowned computer scientist, this book seeks the distinctive human quality that will prevail against artificial intelligence. If artificial intelligence takes over decision-making what, then, is unique and irreplaceable about human intelligenc
Publikováno v:
Significance (Oxford, England)
Significance
Significance
In emergency situations like the coronavirus pandemic, decisions must be made quickly, with only partial information. But good decisions are still possible using risk–benefit analysis. By Peter J. Diggle, Tim Gowers, Frank Kelly and Neil Lawrence
Publikováno v:
other univ website
Both scientists and children make important structural discoveries, yet their computational underpinnings are not well understood. Structure discovery has previously been formalized as probabilistic inference about the right structural form --- where
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccc760b613378f61ab7ddaad1981a2fa