Results 11 to 20 of about 215,550 (310)
, 2022 AbstractThis chapter is on classical statistical decision theory. It is an important chapter for historical reasons, but it also provides the right mathematical grounding and intuition for more modern statistical tools from data science and machine learning.
Mario V. Wüthrich, Michael Merz
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A BiLSTM cardinality estimator in complex database systems based on attention mechanism
CAAI Transactions on Intelligence Technology, 2022 An excellent cardinality estimation can make the query optimiser produce a good execution plan. Although there are some studies on cardinality estimation, the prediction results of existing cardinality estimators are inaccurate and the query efficiency ...
Qiang Zhou +8 more
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The Journal of Engineering, 2019 The AC-DC hybrid microgrid is a credible evolution path for the microgrid. State estimation in complex distribution network is a significant foundation for the safe operation.
Ling Ping +3 more
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Quickest attack detection in smart grid based on sequential Monte Carlo filtering
IET Smart Grid, 2020 Quick and accurate detection of cyber-attacks is key to the normal operation of the smart grid system. In this study, joint state estimation and sequential attack detection method for a given bus with grid frequency drift is proposed that utilises the ...
Leian Chen, Xiaodong Wang
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Imputing missing values using cumulative linear regression
CAAI Transactions on Intelligence Technology, 2019 The concept of missing data is important to apply statistical methods on the dataset. Statisticians and researchers may end up to an inaccurate illation about the data if the missing data are not handled properly.
Samih M. Mostafa
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IEEE Access, 2020 Cellular site planners have long used propagation models for optimizing an architecture deployment strategy. The foundation of these models are a plethora of theoretical results that all contribute to a probabilistic understanding of this phenomenon.
John D. Roth +2 more
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Prior knowledge‐based statistical estimation of linear false tracks in uniform distributed clutter
IET Radar, Sonar & Navigation, 2021 A large number of initialised false tracks in clutter environments will cause a heavy burden on the detection and track‐processing system. The quantity of initialised false tracks in clutter used to be estimated by experience or simulation, which lacks a
Fei Wang +3 more
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Information-Driven Gas Distribution Mapping for Autonomous Mobile Robots
Sensors, 2023 The ability to sense airborne pollutants with mobile robots provides a valuable asset for domains such as industrial safety and environmental monitoring.
Andres Gongora +5 more
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IPDDF: an improved precision dense descriptor based flow estimation
CAAI Transactions on Intelligence Technology, 2020 Large displacement optical flow algorithms are generally categorised into descriptor-based matching and pixel-based matching. Descriptor-based approaches are robust to geometric variation, however they have inherent localisation precision limitation due ...
Weiyong Eng, Voonchet Koo, Tiensze Lim
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Mathematics, 2022 The electromagnetic scattering of a meta-surface, formed by a honeycomb substrate or periodical arranged meta-materials, has great meanings to communication technologies.
Ting-Ting Gu, Tie-Jun Cui
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