In this paper, a hybrid sensor network consisting of static and mobile sensors is considered, where static sensors are used to detect events, and mobile sensors can move to event l...
Wireless sensor network (WSN) containing thousands of tiny and low-power nodes can be used to monitor environment. An energy-efficient and reliable wireless communication architect...
Yi-Ying Zhang, WenCheng Yang, Kee-Bum Kim, Min-Yu ...
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Although backpropagation ANNs generally predict better than decision trees do for pattern classification problems, they are often regarded as black boxes, i.e., their predictions c...
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...