We develop improved risk bounds for function estimation with models such as single hidden layer neural nets, using a penalized least squares criterion to select the size of the mod...
An algorithm is presented for topology selection in graphical models of autoregressive Gaussian time series. The graph topology of the model represents the sparsity pattern of the...
Background: The prediction of protein structure can be facilitated by the use of constraints based on a knowledge of functional sites. Without this information it is still possibl...
A method of using Markov chain techniques for combinatorial test case selection is presented. The method can be used for statistical and coverage testing of many software programs...
Sergiy A. Vilkomir, W. Thomas Swain, Jesse H. Poor...
— This paper proposes a selective pattern-compression scheme to minimize both test power and test data volume during scan-based testing. The proposed scheme will selectively supp...