We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
Time series are difficult to monitor, summarize and predict. Segmentation organizes time series into few intervals having uniform characteristics (flatness, linearity, modality,...
Abstract. In recent years, we have seen the arrival of Distributed Denial-ofService (DDoS) open-source bot-based attack tools facilitating easy code enhancement, and so resulting i...
Vrizlynn L. L. Thing, Morris Sloman, Naranker Dula...
Reactive planning using assumptions is a well-known approach to tackle complex planning problems for nondeterministic, partially observable domains. However, assumptions may be wr...
As embedded systems grow increasingly complex, there is a pressing need for diagnosing and monitoring capabilities that estimate the system state robustly. This paper is based on ...