We analyze the rate of local convergence of the augmented Lagrangian method for nonlinear semidefinite optimization. The presence of the positive semidefinite cone constraint requ...
This paper presents assume-guarantee style substitutivity results for the recently published timed I/O automaton modeling framework. These results are useful for decomposing verifi...
We present a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses large margin estimati...
Various forms of rely/guarantee conditions have been used to record and reason about interference in ways that provide compositional development methods for concurrent programs. Th...
We present a new method for the incremental training of multiclass Support Vector Machines that provides computational efficiency for training problems in the case where the trai...