Rather than relying on similar values as in DTW, we propose to align the values of different variables in a row, under the guide of (iteratively learned) regression models. Intuitively, the aligned row/tuple is expected to coincide well with the prediction of the re- gression model (learned in the previous iteration).
Aug 14, 2022 · We propose to bridge tuple alignment and regression. Rather than similar values and timestamps, we align the values of different variables in a tuple.
Aug 18, 2022 · Aligning tuples by simply concatenating values of variables with equal timestamps leads to limited data for learn- ing regression model. To deal ...
In this chapter we discuss how fuzzy logic extends the envelop of the main data mining tasks: clustering, classification, regression and association rules.
Regression models are learned over multiple variables, e.g., using engine torque and speed to predict its fuel consumption. In practice, the values of these ...
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Apr 1, 2021 · I'm trying to iterate through a list of Tuples which are of varying length. However, I'm just trying to figure something out regarding it.
On aligning tuples for regression. C Fang, S Song, Y Mei, Y Yuan, J Wang. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022. 3 ...
Jul 29, 2024 · The RMSE quantifies how well the predicted values from a model align with the actual observed values in the dataset. ... Two primary types of ...
N-tuple neural networks (NTNNs) have been successfully applied to both pattern recognition and function approximation tasks.
Missing: Aligning | Show results with:Aligning
The test package contains all regression tests for Python as well as the modules test.support and test.regrtest.