Hello Nodir, I believe I found a small bug that got introduced with version 3.18.4! When I use the tray right-click menu to enable/disable traffic graph it is only possible to enable but not to dis ...

Although [Vitor Fróis] is explaining linear regression because it relates to machine learning, the post and, indeed, the topic have wide applications in many things that we do with electronics ...

Sobotka, F. and Kneib, T. (2012) Geoadditive Expectile Regression. Computational Statistics & Data Analysis, 56, 755-767.

Kim, M. and Lee, S. (2016) Nonlinear Expectile Regression with Application to Value-at-Risk and Expected Shortfall Estimation. Computational Statistics & Data Analysis, 94, 1-19.

Linear regression stands as one of the top machine learning algorithms for data analysis, particularly useful for predicting numerical values.

We are unable to process models as a computational graph We are prototyping a new FastDetector, that has almost an identical API to our main Detector class, but instead attempts to pick sensible ...

In response to the challenges posed by the inherent limitations, we introduce a novel representation learning model based on linear regression. This model seamlessly integrates three essential modules ...

By plotting data points on a graph, linear regression identifies the best-fitting straight line, termed the regression line, which it then uses to predict outcomes.

Researchers from Westlake University and Zhejiang University have developed Cobra, a MLLM with linear computational complexity. Cobra integrates the efficient Mamba language model into the visual ...