The idea of building query-oriented routing indices has changed the way of improving keyword search efficiency from the basis as it can learn the content distribution from the que...
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
Abstract. This paper studies the properties and performance of models for estimating local probability distributions which are used as components of larger probabilistic systems ā...
Kristina Toutanova, Mark Mitchell, Christopher D. ...
Abstract. The game of Go has attracted much attention from the artiļ¬cial intelligence community. A key feature of Go is that humans begin to learn on a small board, and then incr...
Abstract--This paper presents a framework for privacypreserving Gaussian Mixture Model computations. Specifically, we consider a scenario where a central service wants to learn the...