Abstract. We study the complexity of model expansion (MX), which is the problem of expanding a given finite structure with additional relations to produce a finite model of a giv...
Antonina Kolokolova, Yongmei Liu, David G. Mitchel...
—This paper presents a model of collaborative decision-making for groups that involve people and computer agents. The model distinguishes between actions relating to participants...
Unsupervised learning can be used to extract image representations that are useful for various and diverse vision tasks. After noticing that most biological vision systems for int...
iLTL is a probabilistic temporal logic that can specify properties of multiple discrete time Markov chains (DTMCs). In this paper, we describe two related tools: MarkovEstimator a...
The major relational database systems have been providing XML support for several years, predominantly by mapping XML to existing concepts such as LOBs or (object-)relational tabl...