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Fast Forward Selection to Speed Up Sparse Gaussian Process Regression.

, , и . AISTATS, Society for Artificial Intelligence and Statistics, (2003)

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James Neil

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Lawrence Oshinowo

 

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Extensions of the Informative Vector Machine., , и . Deterministic and Statistical Methods in Machine Learning, том 3635 из Lecture Notes in Computer Science, стр. 56-87. Springer, (2004)Solving Schrödinger Bridges via Maximum Likelihood, , , и . (2021)cite arxiv:2106.02081Comment: 9 pages + appendix (total 28 pages).Fast Forward Selection to Speed Up Sparse Gaussian Process Regression., , и . AISTATS, Society for Artificial Intelligence and Statistics, (2003)Machine Learning for Science: Bridging Data-Driven and Mechanistic Modelling (Dagstuhl Seminar 22382)., , , , и . Dagstuhl Reports, 12 (9): 150-199 (сентября 2022)Propagating uncertainty in microarray data analysis., , , , и . Briefings Bioinform., 7 (1): 37-47 (2006)Challenges in Deploying Machine Learning: a Survey of Case Studies., , и . CoRR, (2020)TFInfer: a tool for probabilistic inference of transcription factor activities., , , , , и . Bioinform., 26 (20): 2635-2636 (2010)Deep Gaussian Processes for Multi-fidelity Modeling., , , , и . CoRR, (2019)Approximating Posterior Distributions in Belief Networks Using Mixtures., , , и . NIPS, стр. 416-422. The MIT Press, (1997)Efficient Sampling for Gaussian Process Inference using Control Variables., , и . NIPS, стр. 1681-1688. Curran Associates, Inc., (2008)