Abstract. Motivated by the need for agent classification in sensor networking and autonomous vehicle control applications, we propose a flexible and distributed stochastic automato...
We present a method to visit all nodes in a forest of data structures while taking into account object placement. We call the technique a Localized Tracing Scheme as it improves lo...
In the paper, a new evolutionary algorithm (EA) for mixed tree learning is proposed. In non-terminal nodes of a mixed decision tree different types of tests can be placed, ranging ...
Abstract. We consider the problem of finding shortest paths in a graph with independent randomly distributed edge lengths. Our goal is to maximize the probability that the path len...
Evdokia Nikolova, Jonathan A. Kelner, Matthew Bran...
In this paper, we propose a new tunable index scheme, called iMinMax, that maps points in high dimensional spaces to single dimension values determined by their maximum or minimu...