Neural Network approaches to time series prediction are briefly discussed, and the need to specify an appropriately sized input window identified. Relevant theoretical results fro...
In theory, it should be possible to infer realistic genetic networks from time series microarray data. In practice, however, network discovery has proved problematic. The three ma...
Shawn Martin, George Davidson, Elebeoba E. May, Je...
With the proliferation of 2G and 3G Telecom and other wireless networks hundred of millions of users will be able to access wireless services with their terminals in only a few yea...
Parameterized static affine nested loop programs can be automatically converted to input-output equivalent Kahn Process Network specifications. These networks turn out to be close...
Ed F. Deprettere, Todor Stefanov, Shuvra S. Bhatta...
We study local interchangeability of values in constraint networks based on a new approach where a single value in the domain of a variable can be treated as a combination of &quo...