Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...
Exploring a large portion of the microprocessor design space requires the rapid development of efficient simulators. While some systems support rapid model development through the...
In a large distributed system it is often infeasible or even impossible to perform diagnosis using a single model of the whole system. Instead, several spatially distributed local...
Background: Serial Analysis of Gene Expressions (SAGE) produces gene expression measurements on a discrete scale, due to the finite number of molecules in the sample. This means t...
The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one or more depe...