Artificial Intelligence, Volume 49 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics. Chapters in this new release include AI Teacher-Student based Adaptive Structural Deep Learning Model and Its Estimating Uncertainty of Image Data, Machine-derived Intelligence: Computations Beyond the Null Hypothesis, Object oriented basis of artificial intelligence methodologies I in Judicial Systems in India, Artificial Intelligence in Systems Biology, Machine-Learning in Geometry and Physics, Innovation and Machine Learning: Crowdsourcing Open-Source Natural Language Processing (NLP) Algorithms to Advance Public Health Surveillance, and more.
Other chapters cover Learning and identity testing of Markov chains, Data privacy for machine learning and statistics, and The interface between AI and Mathematics.
Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.
Table of Contents
Part I
Foundations and methods
1. Object-oriented basis of artificial intelligence methodologies
Kalidas Yeturu
2. Machine learning in physics and geometry
Yang-Hui He, Elli Heyes, and Edward Hirst
Part II
Probability inspired models
3. Learning and identity testing of Markov chains
Geoffrey Wolfer and Aryeh Kontorovich
4. Data privacy for machine learning and statistics
Vicenc� Torra
5. A Teacher-Student-based adaptive structural deep learning model and its estimating uncertainty of image data
Takumi Ichimura, Shin Kamada, Toshihide Harada, and Ken Inoue
Part III: Applications
6. Artificial intelligence in systems biology
Abhijit Dasgupta and Rajat K. De
7. The calculated uncertainty of scientific discovery: From Maths to Deep Maths
D. Douglas Miller
8. Indian courts of law can benefit immensely by adopting artificial intelligence methods in bail
applications for speedy and accurate justice
Arni S.R. Srinivasa Rao and Anil P. Gore
