An autonomic sensing framework for body sensor networks
Surapa Thiemjarus, Guang‐Zhong Yang · 2007
This paper presents an autonomic sensing framework for distributed inferencing, which consists of several self-contained machine learning techniques. A multi-objective Bayesian framework for feature selection is used for learning the relationship of the variables. To cater for fault tolerance and mi