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» A Bayesian Computational Cognitive Model
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PERCOM
2007
ACM
16 years 4 months ago
Structural Learning of Activities from Sparse Datasets
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...
Fahd Albinali, Nigel Davies, Adrian Friday
NIPS
2007
15 years 5 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
IVA
2005
Springer
15 years 10 months ago
Social Causality and Responsibility: Modeling and Evaluation
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...
Wenji Mao, Jonathan Gratch
ACRI
2006
Springer
15 years 10 months ago
Modeling Crowd Behavior Based on Social Comparison Theory: Extended Abstract
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...
Natalie Fridman, Gal A. Kaminka
TLT
2008
92views more  TLT 2008»
15 years 2 months ago
Lifelong Learner Modeling for Lifelong Personalized Pervasive Learning
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...
Judy Kay