Philip Laird
About
Philip Laird has authored 13 papers that have received a total of 1.1k indexed citations.
This includes 8 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Management Science and Operations Research. The topics of these papers are Machine Learning and Algorithms (7 papers), Algorithms and Data Compression (3 papers) and Distributed Constraint Optimization Problems and Algorithms (3 papers). Philip Laird is often cited by papers focused on Machine Learning and Algorithms (7 papers), Algorithms and Data Compression (3 papers) and Distributed Constraint Optimization Problems and Algorithms (3 papers) and collaborates with scholars based in United States. Philip Laird's co-authors include Andrew B. Philips, Mark Johnston, Steven Minton and Dana Angluin and has published in prestigious journals such as Artificial Intelligence and Machine Learning.
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