Eric B. Baum

34 papers and 1.8k indexed citations i.

Eric B. Baum has authored 34 papers that have received a total of 1.8k indexed citations. This includes 20 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 4 papers in Signal Processing. The topics of these papers are Machine Learning and Algorithms (7 papers), Neural Networks and Applications (7 papers) and Computability, Logic, AI Algorithms (5 papers). Eric B. Baum is often cited by papers focused on Machine Learning and Algorithms (7 papers), Neural Networks and Applications (7 papers) and Computability, Logic, AI Algorithms (5 papers) and collaborates with scholars based in United States and Hong Kong. Eric B. Baum's co-authors include Warren D. Smith, Frank Wilczek, Pierre Baldi, John Moody and Larry Baum and has published in prestigious journals such as Physical Review Letters, Nuclear Physics B and Physics Letters B