The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
Abstract. Gradients are distributed distance estimates used as a building block in many sensor network applications. In large or long-lived deployments, it is important for the est...
Jacob Beal, Jonathan Bachrach, Daniel Vickery, Mar...
—Fluid intake is an important information for many health and assisted living applications. At the same time it is inherently difficult to monitor. Existing reliable solutions r...
Oliver Amft, David Bannach, Gerald Pirkl, Matthias...
— Since family members have their unique features when living in a smart home environment, user identifications are able to achieve without any tags. In this paper, we propose T...