Self-tuning is a cost-effective and elegant solution to the important problem of configuring a database to the characteristics of the query load. Existing techniques operate in an...
Karl Schnaitter, Serge Abiteboul, Tova Milo, Neokl...
: This paper presents an online learning framework for the behavior of an articulated body by capturing its motion using real-time video. In our proposed framework, supervised lear...
We explore a general Bayesian active learning setting, in which the learner can ask arbitrary yes/no questions. We derive upper and lower bounds on the expected number of queries r...
Online virtual laboratory is important for online science education. CyberLab is a toolkit for online virtual experiments. It is able to handle the creation, exportation, and exec...
We introduce a combinatorial dimension that characterizes the number of queries needed to exactly (or approximately) learn concept classes in various models. Our general dimension...