Practical Algorithms for Pattern Based Linear Regression. Conference paper. pp 44–56; Cite this conference paper. Download book PDF · Discovery Science (DS 2005).

In this paper, we give an efficient algorithm to discover the optimal pattern, taking into account the number of occurrences of the pattern in each string, as ...

We present two algorithms based on suffix trees, that can find the optimal substring pattern in O(Nn) and O(N 2) time, respectively, where n is the number of ...

We present two algorithms based on suffix trees, that can find the optimal substring pattern in O(Nn) and O(N2) time, respectively, where n is the number of ...

Fingerprint. Dive into the research topics of 'Practical algorithms for pattern based linear regression'. Together they form a unique fingerprint.

Jan 11, 2024 · In this blog, we'll dive into a hands-on project where we apply linear regression to a real-world dataset. The goal is to demystify the process and showcase ...

Jul 17, 2023 · In this article, we will explore the following regression algorithms: Linear Regression, Robust Regression, Ridge Regression, LASSO Regression ...

This course focuses on the application of modern machine learning methods to time series data with the goal of producing the most accurate predictions.

Jul 4, 2024 · Various regression algorithms play a role in machine learning, from simple linear models to more complex ones like polynomial, ridge, or lasso models.

The most common linear regression models use the ordinary least squares algorithm to pick the parameters in the model and form the best line possible to ...