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Third International Conference, MISS 2023, Bhopal, India, January 24-25, 2023, Revised Selected Papers, Part II

A Practical Approach on the Statistical Learning Theory

The ability to learn is one of the most fundamental attributes of intelligent behavior. Consequently, progress in the theory and computer modeling of learn ing processes is of great significance to...

Abstracting background knowledge for concept learning.- A multistrategy learning approach to domain modeling and knowledge acquisition.- Using plausible explanations to bias empirical generalizatio...

Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing

Adversarial Robustness in Signal Processing

Adversarial Robustness in Signal Processing

First International Conference, ICMLA 2024, Himachal Pradesh, India, February 23-24, 2024, Proceedings

Emerging Trends

Emerging Trends

Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector

Evaluating Predictive Uncertainty Challenge.- Classification with Bayesian Neural Networks.- A Pragmatic Bayesian Approach to Predictive Uncertainty.- Many Are Better Than One: Improving Probabilis...

This book provides comprehensive coverage on a new direction in computational mathematics research: automatic search for formulas. Formulas must be sought in all areas of science and life: these ar...

This book provides comprehensive coverage on a new direction in computational mathematics research: automatic search for formulas. Formulas must be sought in all areas of science and life: these ar...

is a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book focuses on the application aspects of...