Results 41 to 50 of about 98,857 (165)
Log-based Anomaly Detection of CPS Using a Statistical Method
, 2017 Detecting anomalies of a cyber physical system (CPS), which is a complex system consisting of both physical and software parts, is important because a CPS often operates autonomously in an unpredictable environment.
Choi, Eun-Hye +3 more
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Acta Physica Sinica, 2022 In the existing ellipse fitting algorithms, the Lissajous figure is used to solve the demodulation error caused by the non-ideal 3×3 couplers. However, the influence of circuit noise and phase noise on Lissajous figure are not fully considered in the studies.
Ling-Chun Zhang +3 more
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Supervised detection of anomalous light-curves in massive astronomical catalogs
, 2014 The development of synoptic sky surveys has led to a massive amount of data for which resources needed for analysis are beyond human capabilities. To process this information and to extract all possible knowledge, machine learning techniques become ...
Kim, Dae-Won +3 more
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Automatic Detection of Outliers in Multibeam Echo Sounding Data [PDF]
, 2001 The data volumes produced by new generation multibeam systems are very large, especially for shallow water systems. Results from recent multibeam surveys indicate that the ratio of the field survey time, to the time used in interactive editing through ...
Hou, Tianhang +2 more
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Measuring the Influence of Observations in HMMs through the Kullback-Leibler Distance
, 2012 We measure the influence of individual observations on the sequence of the hidden states of the Hidden Markov Model (HMM) by means of the Kullback-Leibler distance (KLD).
Nuel, Gregory, Perduca, Vittorio
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A Robust Adaptive Stochastic Gradient Method for Deep Learning
, 2017 Stochastic gradient algorithms are the main focus of large-scale optimization problems and led to important successes in the recent advancement of the deep learning algorithms. The convergence of SGD depends on the careful choice of learning rate and the
Bengio, Yoshua +3 more
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HLoOP—Hyperbolic 2-Space Local Outlier Probabilities
IEEE AccessHyperbolic geometry has recently garnered considerable attention in machine learning due to its ability to embed hierarchical graph structures with low distortions for further downstream processing.
Clemence Allietta +3 more
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Crowdsourced correlation clustering with relative distance comparisons
, 2017 Crowdsourced, or human computation based clustering algorithms usually rely on relative distance comparisons, as these are easier to elicit from human workers than absolute distance information.
Ukkonen, Antti
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, 2016 A novel algorithm and implementation of real-time identification and tracking of blob-filaments in fusion reactor data is presented. Similar spatio-temporal features are important in many other applications, for example, ignition kernels in combustion ...
Chang, Cs +7 more
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Energy Conversion and Economics, 2022 The identification accuracy of low‐voltage distribution consumer–transformer relationship and phase are crucial to three‐phase unbalanced regulation and error correction in consumer–transformer relationships.
Zhenyue Chu +8 more
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