In this review, we clarify the fundamental conceptual differences of XAI for regression and classification tasks, establish novel theoretical insights and analysis for XAIR, provide demonstrations of ...

This brief proposed a new supervised latent factor analysis (FA) method for process data regression modeling. Different from the traditional principal component analysis/regression model, the new ...

This nuance is essential, as it demonstrates the research’s commitment to not only presenting theoretical insights but also practical applications. Furthermore, the abstract states that regression ...

This nuance is essential, as it demonstrates the research’s commitment to not only presenting theoretical insights but also practical applications. Furthermore, the abstract states that regression ...

What are standardized residuals? How do I calculate it? How do I use it and interpret it? What are its benefits? The answers to these questions and more can be found below. Overview: What Are ...

Existing research methods for LLM-based regression have largely overlooked the potential of service-based LLM embeddings as a regression technique. While embedding representations are widely used in ...

Deals with the applications of basic mathematical models in business decision making. It includes model formulation, linear programming, network analysis, decision theory, inventory problems, queuing, ...