David Cohn

19 papers and 3.4k indexed citations i.

David Cohn has authored 19 papers that have received a total of 3.4k indexed citations. This includes 15 papers in Artificial Intelligence, 2 papers in Mechanical Engineering and 2 papers in Computer Vision and Pattern Recognition. The topics of these papers are Machine Learning and Algorithms (9 papers), Machine Learning and Data Classification (7 papers) and Algorithms and Data Compression (3 papers). David Cohn is often cited by papers focused on Machine Learning and Algorithms (9 papers), Machine Learning and Data Classification (7 papers) and Algorithms and Data Compression (3 papers) and collaborates with scholars based in United States and Israel. David Cohn's co-authors include Richard E. Ladner, Les Atlas, Michael I. Jordan, Gerald Tesauro and Brigham Anderson and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Computation and Neural Networks