Language modeling for an inflected language such as Arabic poses new challenges for speech recognition and machine translation due to its rich morphology. Rich morphology results i...
This paper proposes a quadratic programming (QP) approach to robust model predictive control (MPC) for constrained linear systems having both model uncertainties and bounded distu...
The emerging Model-Driven Engineering paradigm advocates the use of models as first-class citizens in the software development process, while artifacts such as documentation and so...
Hsu et al. (2009) recently proposed an efficient, accurate spectral learning algorithm for Hidden Markov Models (HMMs). In this paper we relax their assumptions and prove a tighte...
We are concerned with a multivariate response regression problem where the interest is in considering correlations both across response variates and across response samples. In th...