Artificial Intelligence

Edited by the best scientists in the field of statistics, this series presents the latest updates in the field of statistics

Arni S.R. Srinivasa Rao (Volume editor), C.R. Rao (Volume editor), Steven Krantz (Volume editor)

9780443137631

Hardback, published 25 August 2023

258 pages
22.9 x 15.2 x 2.7 cm, 0.819 kg

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.

1. A Teacher-Student based Adaptive Structural Deep Learning Model and Its Estimating Uncertainty of Image Data Takumi Ichimura 2. Machine-derived Intelligence: Computations Beyond the Null Hypothesis Douglas Miller 3. Object oriented basis of artificial intelligence methodologies Kalidas Yeturu 4. AI in Judicial Systems in India Arni S.R. Srinivasa Rao 5. Artificial Intelligence in Systems Biology Rajat De 6. Machine-Learning in Geometry and Physics Yang-Hui He 7. Innovation and Machine Learning: Crowdsourcing Open-Source Natural Language Processing (NLP) Algorithms to Advance Public Health Surveillance Carlos Siordia, Stephen Bertke, Mohammed Kahn, William W. Thompson 8. Learning and identity testing of Markov chains Aryeh Kontorovich 9. Data privacy for machine learning and statistics Vicenç Torra 10. The interface between AI and Mathematics Arni S.R. Srinivasa Rao

Subject Areas: Stochastics [PBWL]