We present an optimal strategy for searching for a goal in a street which achieves the competitive factor of √ 2, thus matching the best lower bound known before. This finally ...
We consider the problems of sequential prediction and change detection that arise often in interactive applications: A semi-automatic predictor is applied to a time-series and is ...
We study metric learning as a problem of information retrieval. We present a general metric learning algorithm, based on the structural SVM framework, to learn a metric such that ...
We present a class of models that, via a simple construction,
enables exact, incremental, non-parametric, polynomial-time,
Bayesian inference of conditional measures. The approac...
— We study the complexity of a spectrum of design problems for optical networks in order to carry a set of demands. Under wavelength division multiplexing (WDM) technology, deman...