Abstract. In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical par...
Luke S. Zettlemoyer, Hanna M. Pasula, Leslie Pack ...
Abstract In recent years, many approaches to indexing XML data have appeared. These approaches attempt to process XML queries efficiently and sufficient query plans are built for t...
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Abstract— Prefetching is a widely used technique in modern data storage systems. We study the most widely used class of prefetching algorithms known as sequential prefetching. Th...
Abstract— This paper presents a modular multirobot system developed for distributed sensing experiments. The multirobot system is composed of modular small size robots, which hav...
Janne Haverinen, Anssi Kemppainen, Janne Kivijakol...