This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
We develop a game-theoretic framework for the study of competition between firms who have budgets to “seed” the initial adoption of their products by consumers located in a s...
This paper presents a novel method for online and incremental appearance-based localization and mapping in a highly dynamic environment. Using position-invariant robust features (...
Background: The Gene Ontology has become an extremely useful tool for the analysis of genomic data and structuring of biological knowledge. Several excellent software tools for na...
Rachel S. G. Sealfon, Matthew A. Hibbs, Curtis Hut...
Abstract— In this paper, we consider the sampled-data problem of interconnected systems, specifically, time- and spaceinvariant systems. Our main contribution is to provide suf...