At Financial Crypto 2006, Golle presented a novel framework for the privacy preserving computation of a stable matching (stable marriage). We show that the communication complexity...
Matthew K. Franklin, Mark Gondree, Payman Mohassel
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
In this paper we describe how a single Khepera II robot was used for an assignment in a senior level course on graphical user interface implementation. The assignment required eac...
Support Vector Regression (SVR) has been a long standing problem in machine learning, and gains its popularity on various computer vision tasks. In this paper, we propose a structu...
We introduce and analyze a new algorithm for linear classification which combines Rosenblatt's perceptron algorithm with Helmbold and Warmuth's leave-one-out method. Like...