Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
We present a new algorithm for computing the solution of large Markov chain models whose generators can be represented in the form of a generalized tensor algebra, such as network...
Abstract. In this paper we obtain some inequalities related to the generalized triangle and quadratic triangle inequalities for vectors in inner product spaces. Some results that e...
In this work we extend results from the literature on H design with pole placement constraints to the case of generalized state space models, for both continuous-time and discrete...
The representation of physical space has traditionally focused on keyphrases such as “Computer Science Building” or “Physics Department” that help us in describing and nav...