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by S Chang · 2022 · Cited by 8 — It has been proved that the sketched representation can largely reduce the compu- tational complexity, meanwhile, preserve the data information@Sep 16, 2019 — An optimal sub-seafloor resistivity section reveals a semi-layered structure consisting of double low-resistivity SMS layers: exposed and deep- *^by S Talukdar · 2021 · Cited by 178 — Landscape fragmentation probability was analyzed using bagging, random forest (RF), and random subspace (RSS) for the first time.+by S Amiri · 2025 · Cited by 2 — We present a technique for learning via aggregation in supervised classification. The new method improves classification performance, *~by B Gyawali · 2022 · Cited by 12 — The reconstructed TWSGRACE, along with soil moisture storage (SMS) from land surface models (LSMs), and surface water storage (SWS) were use&by B Cappelaere · 2020 · Cited by 2 — In distributed land surface modeling (LSM) studies, uncertainty in the rainfields that are used to force models is a major source of error,Further investigation of this alignment property demonstrates that stronger alignment in a subspace * SMS (Almeida et al., 2011). The resulting models *28 pages