In several latency in obtaining information about the state of the network. The adoption of active learning techniques can result in a dramatic reduction in the number of measurement probes and the time required to obtain accurate estimates of network performance metrics. We describe how these techniques can be employed in estimating loss and delay metrics and conducting fault diagnosis. In particular we focus on active learning methods for simultaneously estimating the available bandwidth on multiple paths through the network.
Towards Closing the Loop: Active Learning for Robotics
Workshop - Robotics: Science and Systems 2010