Bayesian network is a widely used tool for data analysis, modeling and decision support in various domains. There is a growing need for techniques and tools which can automatically...
Abstract—This paper considers maximizing throughput utility in a multi-user network with partially observable Markov ON/OFF channels. Instantaneous channel states are never known...
Abstract. Security protocols aim at securing communications over public networks. Their design is notoriously difficult and error-prone. Formal methods have shown their usefulness ...
Previous information extraction (IE) systems are typically organized as a pipeline architecture of separated stages which make independent local decisions. When the data grows bey...
Qi Li, Sam Anzaroot, Wen-Pin Lin, Xiang Li, Heng J...
We present a new active learning approach to incorporate
human feedback for on-line unusual event detection. In contrast to most
existing unsupervised methods that perform passiv...