Now showing items 231-232 of 232
Multiple Sampling for Estimation on a Finite Horizon
We discuss some multiple sampling problems that arise in real-time estimation problems with limits on the number of samples. The quality of estimation is measured by an aggregate squared error over a finite horizon. We ...
Detection and Classification of Network Intrusions using Hidden Markov Models
This paper demonstrates that it is possible to model attacks witha low number of states and classify them using Hidden MarkovModels with very low False Alarm rate and very few FalseNegatives. We also show that the models ...