Procedural methods have long been used for generation of art assets, but procedural generation of scenarios has lagged behind. In particular, training games for emergency rescue w...
We present a computational study of an auction-based method for decentralized train scheduling. The method is well suited to the natural information and control structure of moder...
—This paper is concerned with the application of a conversational agent and expert system to provide a natural language interface to a database. Typically, natural language datab...
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
—Biasing properly the hypothesis space of a learner has been shown to improve generalization performance. Methods for achieving this goal have been proposed, that range from desi...