Social navigation is a promising approach to help users make better privacy and security decisions using community knowledge and expertise. Social navigation has recently been app...
Andrew Besmer, Jason Watson, Heather Richter Lipfo...
In this paper we present a web-based framework for spatiotemporal screen real estate management of interactive public displays. The framework facilitates dynamic partitioning of t...
Tomas Linden, Tommi Heikkinen, Timo Ojala, Hannu K...
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...
We consider the issue of how to read out the information from nonstationary spike train ensembles. Based on the theory of censored data in statistics, we propose a ‘censored’ m...
Distributed hash tables (DHTs) are very efficient for querying based on key lookups. However, building huge term indexes, as required for IR-style keyword search, poses a scalabil...
Odysseas Papapetrou, Wolf Siberski, Wolfgang Nejdl