Titlebook: Quality, Reliability, Security and Robustness in Heterogeneous Networks; 7th International Co Xi Zhang,Daji Qiao Conference proceedings 201

heartburn

A Sparse Bayesian Framework for Anomaly Detection in Heterogeneous Networksry, we construct a detection system whose decision making is mostly based on a few representative examples from the training set. This provides human interpretability as expert can analyze the representative examples to understand the detection mechanism. Our experiment results show the potential of this approach.

圓木可阻礙

Lymphocyte

公司

consolidate

headway

陶器

headlong

chemoprevention

Spectrum Prediction via Temporal Conditional Gaussian Random Field Model in Wideband Cognitive Radioduces the theory of Gaussian Markov Random Field to estimate the un-sensed sub-channel status. We set up a measurement system to capture the WiFi spectrum data. With the measurement data, we verify that the proposed model of Temporal Conditional Gaussian Random Field can efficient estimate the sub-c

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