Confusion networks are a simple representation of multiple speech recognition or translation hypotheses in a machine translation system. A typical operation on a confusion network...
An algorithm for finding small-weight words in large linear codes is developed and a precise analysis of its complexity is given. It is in particular able to decode random [512,256...
Abstract- Behavior based architectures have many parameters that must be tuned to produce effective and believable agents. We use genetic algorithms to tune simple behavior based c...
Ryan E. Leigh, Tony Morelli, Sushil J. Louis, Moni...
This paper proposes extending semi-supervised learning by allowing an ongoing interaction between a user and the system. The extension is intended to not only to speed up search fo...
Fair allocation of payoffs among cooperating players who can form various coalitions of differing utilities is the classic game theoretic “coalition problem.” Shapley’s va...