Regression models with intractable normalizing constants are valuable tools for analyzing complex data structures, yet ...

Abstract: This paper presents a new algorithm to obtain reduced-order model of linear periodically ... the orthogonal transformation operator (used in the integrated congruence transform) through ...

Ambidextrous leadership thrives on non-linear careers. Diverse experiences fuel innovation, adaptability, and sustainable ...

Learn what is Logistic Regression Cost Function in Machine Learning and the interpretation behind it. Logistic Regression ...