1. Thomas G. Dietterich Department of Computer Science Oregon State University Corvallis, Oregon 97331 http://www.cs.orst.edu/~tgd Machine Learning: Making Computer Science Scientific
20. AT&T/NCR Check Reading System Recognition transformer is a neural network trained on 500,000 examples of characters The entire system is trained given entire checks as input and dollar amounts as output LeCun, Bottou, Bengio & Haffner (1998) Gradient-Based Learning Applied to Document Recognition
21.
22.
23. Density Estimation Training Examples Learning Algorithm Density Estimator P(chip i is bad) = 0.42 Partially-tested wafer
28. Reinforcement Learning Environment state s reward r action a Agent’s goal: Choose actions to maximize total reward Action Selection Rule is called a “policy”: a = (s) agent