We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
Nicolas Loeff, David A. Forsyth, Deepak Ramachandr...
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
Eric Wiewiora, Garrison W. Cottrell, Charles Elkan
This paper details the development, implementation, and results of Synthia, a system for the synthesis of Finite State Machines (FSMs) to field-programmable logic. Our approach us...
George A. Constantinides, Peter Y. K. Cheung, Wayn...
Abstract. We study resolving conflicts between an action description and a set of conditions (possibly obtained from observations), in the context of action languages. In this form...
Activities in complex networks are often both too important to ignore and too tedious to watch. We created a network monitoring system, Peep, that replaces visual monitoring with ...