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Taking the human out of the loop: A review of Bayesian optimization
Big Data applications are typically associated with systems involving large numbers of
users, massive complex software systems, and large-scale heterogeneous computing and …
users, massive complex software systems, and large-scale heterogeneous computing and …
A critical review on modeling and prediction on properties of fresh and hardened geopolymer composites
P Zhang, Y Mao, W Yuan, J Zheng, S Hu… - Journal of Building …, 2024 - Elsevier
Geopolymer is an environmentally friendly material that is recognized as a potential
alternative binder to ordinary Portland cement. However, accurate prediction of the …
alternative binder to ordinary Portland cement. However, accurate prediction of the …
State of health estimation for Li-Ion battery using incremental capacity analysis and Gaussian process regression
The state of health for lithium battery is necessary to ensure the reliability and safety for
battery energy storage system. Accurate prediction battery state of health plays an extremely …
battery energy storage system. Accurate prediction battery state of health plays an extremely …
[HTML][HTML] Gaussian process regression for forecasting battery state of health
Accurately predicting the future capacity and remaining useful life of batteries is necessary to
ensure reliable system operation and to minimise maintenance costs. The complex nature of …
ensure reliable system operation and to minimise maintenance costs. The complex nature of …
Gaussian processes for time-series modelling
In this paper, we offer a gentle introduction to Gaussian processes for time-series data
analysis. The conceptual framework of Bayesian modelling for time-series data is discussed …
analysis. The conceptual framework of Bayesian modelling for time-series data is discussed …
A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning
E Brochu, VM Cora, N De Freitas - ar** community detection using Bayesian non-negative matrix factorization
Identifying overlap** communities in networks is a challenging task. In this work we
present a probabilistic approach to community detection that utilizes a Bayesian non …
present a probabilistic approach to community detection that utilizes a Bayesian non …
Detection of suicide-related posts in Twitter data streams
Suicidal ideation detection in online social networks is an emerging research area with
major challenges. Recent research has shown that the publicly available information …
major challenges. Recent research has shown that the publicly available information …
Automatic construction and natural-language description of nonparametric regression models
This paper presents the beginnings of an automatic statistician, focusing on regression
problems. Our system explores an open-ended space of statistical models to discover a …
problems. Our system explores an open-ended space of statistical models to discover a …
A Gaussian process framework for modelling instrumental systematics: application to transmission spectroscopy
Transmission spectroscopy, which consists of measuring the wavelength-dependent
absorption of starlight by a planet's atmosphere during a transit, is a powerful probe of …
absorption of starlight by a planet's atmosphere during a transit, is a powerful probe of …