Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Causality is a central issue in many AI applications. Social causality, in contrast to physical causality, seeks to attribute cause and responsibility to social events, and account...
on Theory: Extended Abstract Natalie Fridman and Gal Kaminka Bar Ilan University, Israel The MAVERICK Group Computer Science Department {fridman,galk}cs.biu.ac.il Abstract. Modelin...
Pervasive and ubiquitous computing has the potential to make huge changes in the ways that we will learn throughout our lives. This paper presents a vision for the lifelong user mo...