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pro vyhledávání: '"residuals"'
Insurance risk arising from catastrophes such as earthquakes a component of the Minimum Capital Test for federally regulated property and casualty insurance companies. Analyzing earthquake insurance risk requires well-fitted spatio-temporal point pro
Externí odkaz:
http://arxiv.org/abs/2410.04369
The distributed data infrastructure in Internet of Things (IoT) ecosystems requires efficient data-series compression methods, along with the ability to feed different accuracy demands. However, the compression performance of existing compression met
Externí odkaz:
http://arxiv.org/abs/2410.06713
Detecting anomalies in a temporal sequence of graphs can be applied is areas such as the detection of accidents in transport networks and cyber attacks in computer networks. Existing methods for detecting abnormal graphs can suffer from multiple limi
Externí odkaz:
http://arxiv.org/abs/2410.05687
The probability-scale residual (PSR) is defined as $E\{sign(y, Y^*)\}$, where $y$ is the observed outcome and $Y^*$ is a random variable from the fitted distribution. The PSR is particularly useful for ordinal and censored outcomes for which fitted v
Externí odkaz:
http://arxiv.org/abs/2409.11385
We consider a residuals-based distributionally robust optimization model, where the underlying uncertainty depends on both covariate information and our decisions. We adopt regression models to learn the latent decision dependency and construct a nom
Externí odkaz:
http://arxiv.org/abs/2406.20004
Akademický článek
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Autor:
Calcino, Josh, Norfolk, Brodie, Price, Daniel J., Hilder, Thomas, Speedie, Jessica, Pinte, Christophe, Garg, Himanshi, Teague, Richard, Hall, Cassandra, Stadler, Jochen
Kinematic studies of protoplanetary discs are a valuable method for uncovering hidden companions. In the first paper of this series, we presented five morphological and kinematic criteria that aid in asserting the binary nature of a protoplanetary di
Externí odkaz:
http://arxiv.org/abs/2407.21309
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 14, no. 2, pp. 224-234, Jun. 2024
In point cloud geometry compression, context models usually use the one-hot encoding of node occupancy as the label, and the cross-entropy between the one-hot encoding and the probability distribution predicted by the context model as the loss functi
Externí odkaz:
http://arxiv.org/abs/2407.08520