I present a formalism that combines two methodologies: objective Bayesianism and Bayesian nets. According to objective Bayesianism, an agent’s degrees of belief (i) ought to sat...
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...
Joni Pajarinen, Jaakko Peltonen, Ari Hottinen, Mik...
In this paper, we address the problem of supporting more exibility on the schema of object-oriented databases. We describe a general framework based on an object-oriented data mode...
Abstract. The Resource Description Framework (RDF) provides a common data model for the integration of emerging "real-time" streams of social and sensor data with the Web...
Most learning algorithms for undirected graphical models require complete inference over at least one instance before parameter updates can be made. SampleRank is a rankbased lear...
Sameer Singh, Limin Yao, Sebastian Riedel, Andrew ...