Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
In this paper we present a methodology to extract information from the Web to build a taxonomy of terms and Web resources for a given domain. This taxonomy represents a hierarchy o...
An agent communication protocol specifies the “rules of encounter” governing a dialogue between agents in a multiagent system. In non-cooperative interactions (such as negoti...
Ulrich Endriss, Nicolas Maudet, Fariba Sadri, Fran...
We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...
In rule-based systems, goal-oriented computations correspond naturally to the possible ways that an observation may be explained. In some applications, we need to compute explanat...