Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
Joseph O'Sullivan, John Langford, Rich Caruana, Av...
This paper examines the recovery of user context in indoor environments with existing wireless infrastructures to enable assistive systems. We present a novel approach to the extra...
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
An on-chip test-and-measurement system with digital interfaces that can perform device-level characterization of large-dense arrays of transistors is demonstrated in 90- and 65-nm...
Simeon Realov, William McLaughlin, Kenneth L. Shep...
— As mobile robotics is gradually moving towards a level of semantic environment understanding, robust 3D object recognition plays an increasingly important role. One of the most...
Klaas Klasing, Daniel Althoff, Dirk Wollherr, Mart...