A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
We present a formal framework for capturing the provenance of data appearing in XQuery views of XML. Building on previous work on relations and their (positive) query languages, w...
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute a generic and expressive framework for multiagent planning under uncertainty. However, plannin...
Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J....
A framework to assess transient performance measures is introduced by generalizing the theory of the quasi Birthand-Death (QBD) paradigm to QBDs with marked time epochs (QBDm ). T...
We present two studies of participatory sensing in the wild, in which groups of young people used sensors to collect environmental data along with contextual information such as p...