We study statistical consistency of two recently proposed subspace identification algorithms for closed-loop systems. These algorithms een as implementations of an abstract state-...
We present a system for robust robot skill acquisition from kinesthetic demonstrations. This system allows a robot to learn a simple goal-directed gesture, and correctly reproduce...
We describe a Monte Carlo method for the numerical computation of the principal eigenvalue of the Laplace operator in a bounded domain with Dirichlet conditions. It is based on th...
A recent theorem of Bissacot, et al. proved using results about the cluster expansion in statistical mechanics extends the Lov´asz Local Lemma by weakening the conditions under w...
We describe a simple improvement to ngram language models where we estimate the distribution over closed-class (function) words separately from the conditional distribution of ope...