R-tree data structures are widely used in spatial databases to store, manage and manipulate spatial information. As the data volume of such databases is typically very large, the q...
Xiang Xiao, Tuo Shi, Pranav Vaidya, Jaehwan John L...
Affordances elude ontology. They have been recognized to play a role in categorization, especially of artifacts, but also of natural features. Yet, attempts to ontologize them face...
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
: Revenue Assurance describes a methodology to increase a company’s income by determining where revenue gets lost, and to maximize their profits by eliminating revenue leakage an...