This Thinking XML column shows how to combine metadata collected from multiple XML source documents into a single Resource Description Framework (RDF) model for effective querying. In this follow-up to his previous installment that introduced how to use X
xmlns.com is an internet domain created for the purposes of simple Web namespace management. The rationale for registering xmlns.com was to secure a short, memorable domain suitable for naming concepts for use in RDF and XML vocabularies.
Here at Google Research we have been using word n-gram models for a variety of R&D projects, such as statistical machine translation, speech recognition, spelling correction, entity detection, information extraction, and others. While such models have usu
Design of Clinical Trials for Treatment of Pain, Development of Clinical Trials, Selected Qualitative Methods, Within-Patient Studies: Cross-over Trials & n-of-1 Studies, Clinical Economics, etc.
This Thinking XML column shows how to combine metadata collected from multiple XML source documents into a single Resource Description Framework (RDF) model for effective querying. In this follow-up to his previous installment that introduced how to use X
This archive is open for any geometer to publish new geometric models, or to browse this site for material to be used in education and research. These geometry models cover a broad range of mathematical topics from geometry, topology, and to some extent from numerics.
After graduating from the five-minute wiki to real-life applications, Django programmers can easily create confusing, hard-to-maintain, or inefficient model classes. Learn how to avoid common querying mistakes, use model managers to encapsulate complex queries, and take advantage of the powerful new aggregation features available in Django V1.1.
The Datagram Congestion Control Protocol (DCCP) is a transport protocol that provides bidirectional unicast connections of congestion-controlled unreliable datagrams. DCCP is suitable for applications that transfer fairly large amounts of data and that can benefit from control over the tradeoff between timeliness and reliability.
A. Ferraro, M. Ekstrand, and C. Bauer. Proceedings of the 18th ACM Conference on Recommender Systems, page 884–889. New York, NY, USA, Association for Computing Machinery, (Oct 8, 2024)