A temporal pattern is defined as a segment of signals that recurs frequently in the whole temporal signal sequence. ○ In many applications:a time constraint ...

In order to perform regression on data streams, it is necessary to continuously update the regression model parameters while receiving new data. However, due to ...

A conformal predictor outputs prediction sets instead of point predictions; which for regression translates into prediction intervals. The key property of a ...

Feb 16, 2016 · From a data stream i'm receiving a pair of measurements consisting of a current consumption and a current percentage every second.

This paper develops an incremental learning algorithm based on quadratic inference function (QIF) to analyze streaming datasets with correlated outcomes ...

Mar 24, 2020 · ... streaming data in alien systems or algorithms. In this lecture, we extend the application of linear regression in a streaming model. Recap ...

However, most regression algorithms, whether against linear regression or nonlinear regression analysis, were designed based on batch datasets. Nowadays,.

In this demo, we present the StreamFitter system for real-time linear regression analysis on continuous data streams. In order to perform regression on data ...

Feb 5, 2023 · In this paper, we tackle these issues by developing functional stochastic gradient descent algorithms and proposing an online bootstrap resampling procedure.

This paper proposes a Bayesian QR approach for streaming data, in which the posterior distribution was updated by utilizing the aggregated statistics of ...