Revisiting the temperature evolution law of the CMB with Gaussian processes by Felipe Avila, Alexander Bonilla Rivera, Rafael C. Nunes, R.F.L. Holanda, Armando Bernui

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Efficient Tuning of an Isotope Separation Online System Through Safe Bayesian Optimization with Simulation-Informed Gaussian Process for the Constraints by Santiago Ramos Garces, Ivan De Boi, João Pedro Ramos, Marc Dierckx, Lucia Popescu, Stijn Derammelaere

Subjects: “…Gaussian process…”
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Advanced Monte Carlo for Acquisition Sampling in Bayesian Optimization by Javier Garcia-Barcos, Ruben Martinez-Cantin

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Nonlinear Gaussian process tomography with imposed non-negativity constraints on physical quantities for plasma diagnostics by Kenji Ueda, Masaki Nishiura

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An informativeness score for optimal mixed datasets using Gaussian process regression by Cameron J LaMack, Eric M Schearer

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Gaussian Process Regression with a Hybrid Risk Measure for Dynamic Risk Management in the Electricity Market by Abhinav Das, Stephan Schlüter

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Gaussian Process with Vine Copula-Based Context Modeling for Contextual Multi-Armed Bandits by Jong-Min Kim

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Application research of multi-finger robot hand grasping based on three-dimensional point cloud by ZHAN Hong, HUANG Jiebin, YANG Chenguang

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Application of Even Span Greenhouse Solar Dryer (ESGSD) for drying Persian shallot; Kinetic analysis, machine learning modeling and quality evaluation by Morteza Taki, Mohammad Noshad, Mohammad Mehdi Jasemi, Fatemeh Isvandi

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Data-efficient optimization of thermally-activated polymer actuators through machine learning by Yuhao Zhang, Maija Vaara, Azin Alesafar, Duc Bach Nguyen, Pedro Silva, Laura Koskelo, Jussi Ristolainen, Matthias Stosiek, Joakim Löfgren, Jaana Vapaavuori, Patrick Rinke

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Hierarchical Gaussian processes for characterizing gait variability in multiple sclerosis by Alexandru Stihi, Claudia Mazzà, Elizabeth Cross, Timothy James Rogers

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Online variational Gaussian process for time series data by Weidong Wang, Mian Muhammad Yasir Khalil, Leta Yobsan Bayisa

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A comparative study of forecasting methods using real-life econometric series data by Cláudia Eliane da Matta, Natália Maria Puggina Bianchesi, Milena Silva de Oliveira, Pedro Paulo Balestrassi, Fabiano Leal

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Dim and Small Target Detection Based on Improved Bilateral Filtering and Gaussian Motion Probability Estimation by Fan Xiangsuo, Qin Wenlin, Feng Gaoshan, Huang Qingnan, Min Lei

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Quantifying training response in cycling based on cardiovascular drift using machine learning by Artur Barsumyan, Artur Barsumyan, Raman Shyla, Anton Saukkonen, Christian Soost, Jan Adriaan Graw, Rene Burchard, Rene Burchard, Rene Burchard

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Calibration and surrogate model-based sensitivity analysis of crystal plasticity finite element models by Hugh Dorward, David M. Knowles, Eralp Demir, Mahmoud Mostafavi, Matthew J. Peel

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Semi-supervised Gaussian process classification algorithm addressing the class imbalance by Zhan-guo XIA, Shi-xiong XIA, Shi-yu CAI, Ling WAN

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Machine Learning-Enabled Prediction and Optimization of Sulfur Recovery Units: A Step towards Industry 4.0 Integration by Imran Khan, Husnain Saghir, Muhammad Ahsan

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Potential Source Density Function: A New Tool for Identifying Air Pollution Sources by In Sun Kim, Yong Pyo Kim, Daehyun Wee

Subjects: “…Gaussian process…”
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Observational Insights of Nearshore Wind Stress and Parameterizations From Gaussian Process Regressions by C. A. Benbow, J. H. MacMahan

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