Tom Mitchell
Founders University Professor, Computer Science Department, Machine Learning
Tom Mitchell is interested in many areas of computer science, but especially in how to construct computers that learn from experience. At the heart of the problem of machine learning is the question of how to automatically formulate general hypotheses given a collection of very specific training examples. His research has addressed a number of approaches to this question, including statistical approaches that find regularities over large numbers of training examples, and analytical approaches that generalize from very few examples and rely instead on prior knowledge and reasoning.