Information dissemination is a fundamental and frequently occuring problem in large, dynamic, distributed systems. We propose a novel approach to this problem, interest-aware info...
We consider learning in situations where the function used to classify examples may switch back and forth between a small number of different concepts during the course of learnin...
This work characterizes the generalization ability of algorithms whose predictions are linear in the input vector. To this end, we provide sharp bounds for Rademacher and Gaussian...
A data stream is a continuous and high-speed flow of data items. High speed refers to the phenomenon that the data rate is high relative to the computational power. The increasing...
Abstract. Anomaly detection, detection of deviations from what is considered normal, is an important complement to misuse detection based on attack signatures. Anomaly detection in...