Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Energy consumption of the Internet is already substantial and it is likely to increase as operators deploy faster equipment to handle popular bandwidthintensive services, such as ...
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
The designs of high-performance processor architectures are moving toward the integration of a large number of multiple processing cores on a single chip. The IBM Cyclops-64 (C64)...
Hop-by-hop data aggregation is a very important technique for reducing the communication overhead and energy expenditure of sensor nodes during the process of data collection in a...