Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...
We discuss several features of coherent choice functions – where the admissible options in a decision problem are exactly those which maximize expected utility for some probabil...
Teddy Seidenfeld, Mark J. Schervish, Joseph B. Kad...
We propose an enhanced mechanism for selecting partners for multi-attribute negotiation. The mechanism employs possibilistic case-based reasoning. The possibility of successful ne...
In this paper, we propose and analyze a methodology for providing statistical guarantees within the diffserv model in a network, that uses static-priority schedulers. We extend th...
Recent research has demonstrated the utility of using supervised classification systems for automatic identification of low quality microarray data. However, this approach requires...
Brian E. Howard, Beate Sick, Imara Perera, Yang Ju...