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Feature selection strategies for classifying high dimensional astronomical data sets., , , , , , , , , and 1 other author(s). IEEE BigData, page 35-41. IEEE Computer Society, (2013)Learning long-range terrain classification for autonomous navigation., , , , and . ICRA, page 4018-4024. IEEE, (2008)Representing Solar Active Regions with Triangulations., and . COMPSTAT, page 473-478. Springer, (1998)Automated Real-Time Classification and Decision Making in Massive Data Streams from Synoptic Sky Surveys., , , , , , and . eScience, page 204-211. IEEE Computer Society, (2014)Real-time data mining of massive data streams from synoptic sky surveys., , , , , , and . Future Gener. Comput. Syst., (2016)Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets., , , , , , , , , and . CoRR, (2013)Modeling groundwater levels in California's Central Valley by hierarchical Gaussian process and neural network regression., , , , , , and . CoRR, (2023)Bayesian Inference for Identifying Solar Active Regions., , and . KDD, page 267-270. AAAI Press, (1997)Remote estimation of geologic composition using interferometric synthetic-aperture radar in California's Central Valley., , , , , , and . CoRR, (2022)Tests and Tolerances for High-Performance Software-Implemented Fault Detection., , , and . IEEE Trans. Computers, 52 (5): 579-591 (2003)