Constrained Bayesian Optimization: A Review by Sasan Amini, Inneke Vannieuwenhuyse, Alejandro Morales-Hernandez

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Meta-models for transfer learning in source localization by Lawrence A. Bull, Matthew R. Jones, Elizabeth J. Cross, Andrew Duncan, Mark Girolami

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A model-based factorization method for scRNA data unveils bifurcating transcriptional modules underlying cell fate determination by Jun Ren, Ying Zhou, Yudi Hu, Jing Yang, Hongkun Fang, Xuejing Lyu, Jintao Guo, Xiaodong Shi, Qiyuan Li

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Reconstruction of the scalar field potential in nonmetricity gravity through Gaussian processes by Gaurav N. Gadbail, Sanjay Mandal, P.K. Sahoo, Kazuharu Bamba

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Multiple extended target tracking by truncated JPDA in a clutter environment by Qinlei Li, Liping Song, Yongquan Zhang

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Artificial Intelligence-Assisted Machine Learning Methods for Forecasting Green Bond Index: A Comparative Analysis by Ahmed İhsan Şimşek, Yunus Emre Gür, Emre Bulut

Subjects: “…rational quadratic gaussian process regression…”
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Gaussian Process Regression Total Nitrogen Prediction Based on Data Decomposition Technology and Several Intelligent Algorithms by WANG Yongshun, CUI Dongwen

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On the development of a practical Bayesian optimization algorithm for expensive experiments and simulations with changing environmental conditions by Mike Diessner, Kevin J. Wilson, Richard D. Whalley

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On the Measurement of Laser Lines in 3D Space with Uncertainty Estimation by Ivan De Boi, Nasser Ghaderi, Steve Vanlanduit, Rudi Penne

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Hyperspectral Image Classification Using Spectral-Spatial Dual Random Fields With Gaussian and Markov Processes by Yaqiu Zhang, Lizhi Liu, Xinnian Yang

Subjects: “…Gaussian processes (GPs)…”
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Generalized cross-entropy for learning from crowds based on correlated chained Gaussian processes by J. Gil-González, G. Daza-Santacoloma, D. Cárdenas-Peña, A. Orozco-Gutiérrez, A. Álvarez-Meza

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