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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
16 years 4 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
P2P
2006
IEEE
229views Communications» more  P2P 2006»
15 years 10 months ago
Cost-Aware Processing of Similarity Queries in Structured Overlays
Large-scale distributed data management with P2P systems requires the existence of similarity operators for queries as we cannot assume that all users will agree on exactly the sa...
Marcel Karnstedt, Kai-Uwe Sattler, Manfred Hauswir...
SIGCOMM
2004
ACM
15 years 9 months ago
Mercury: supporting scalable multi-attribute range queries
This paper presents the design of Mercury, a scalable protocol for supporting multi-attribute rangebased searches. Mercury differs from previous range-based query systems in that...
Ashwin R. Bharambe, Mukesh Agrawal, Srinivasan Ses...
ICCS
1998
Springer
15 years 8 months ago
Handling Specification Knowledge Evolution Using Context Lattices
Internet-based information technologies have considerable potential for improving collaboration in professional communities. In this paper, we explain the concept of user-driven sp...
Aldo de Moor, Guy W. Mineau
IPPS
2010
IEEE
15 years 2 months ago
BlobSeer: Bringing high throughput under heavy concurrency to Hadoop Map-Reduce applications
Hadoop is a software framework supporting the Map/Reduce programming model. It relies on the Hadoop Distributed File System (HDFS) as its primary storage system. The efficiency of ...
Bogdan Nicolae, Diana Moise, Gabriel Antoniu, Luc ...