We show that under reasonable conditions, online learning for a nonlinear function near a local minimum is similar to a multivariate Ornstein Uhlenbeck process. This implies that ...
This paper is concerned with estimation of learning curves for Gaussian process regression with multidimensional numerical integration. We propose an approach where the recursion e...
Manufacturing process variability impacts the performance of synchronous logic circuits by means of its effect on both clock network and functional block delays. Typically, varia...
: Function allocation, as a process used in the construction of dependable complex systems, is a significant aspect of the design and implementation of interactive systems. It invo...
Karsten Loer, Michael Hildebrandt, Michael D. Harr...
Decentralized Markov Decision Processes (DEC-MDPs) are a popular model of agent-coordination problems in domains with uncertainty and time constraints but very difficult to solve...