Linda Sellie

6 papers and 120 indexed citations i.

Linda Sellie has authored 6 papers that have received a total of 120 indexed citations. This includes 6 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 1 paper in Computer Networks and Communications. The topics of these papers are Machine Learning and Algorithms (6 papers), Algorithms and Data Compression (2 papers) and Machine Learning and Data Classification (2 papers). Linda Sellie is often cited by papers focused on Machine Learning and Algorithms (6 papers), Algorithms and Data Compression (2 papers) and Machine Learning and Data Classification (2 papers) and collaborates with scholars based in United States. Linda Sellie's co-authors include Robert E. Schapire, Michael Kearns, Lisa Hellerstein, Ronitt Rubinfeld and Yoav Freund and has published in prestigious journals such as Machine Learning, Journal of Computer and System Sciences and Algorithmica