Free Download High-Dimensional Regression Analysis and Artificial Intelligence: Theory, Methods and Applications
English | 2026 | ISBN: 9819525136 | 454 Pages | PDF (True) | 26 MB
In this book, a novel high-dimensional linear and nonlinear regression model is introduced to address, in part, the challenges of evaluating the stability and confidence of large-scale models' interpretability. The book begins by reviewing foundational concepts in regression analysis, and discussing the current state and challenges of AI interpretability. Through an in-depth exploration of regression models, the core principles of data-driven linear regression are explained. To enhance the explanatory power of regression models, variable-parameter regression models are further investigated and extended to variable-parameter nonlinear regression models.
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