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ICMLA
2010
14 years 7 months ago
Boosting Multi-Task Weak Learners with Applications to Textual and Social Data
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
Jean Baptiste Faddoul, Boris Chidlovskii, Fabien T...
INFOCOM
2010
IEEE
14 years 8 months ago
Improving QoS in BitTorrent-like VoD Systems
—In recent years a number of research efforts have focused on effective use of P2P-based systems in providing large scale video streaming services. In particular, live streaming ...
Yan Yang, Alix L. H. Chow, Leana Golubchik, Daniel...
ESWA
2011
428views Database» more  ESWA 2011»
14 years 4 months ago
Formally analysing the concepts of domestic violence
The types of police inquiries performed these days are incredibly diverse. Often data processing architectures are not suited to cope with this diversity since most of the case dat...
Jonas Poelmans, Paul Elzinga, Stijn Viaene, Guido ...
91
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TPDS
2002
75views more  TPDS 2002»
14 years 9 months ago
An Experimental Evaluation of I/O Optimizations on Different Applications
Many large scale applications have significant I/O requirements as well as computational and memory requirements. Unfortunately, the limited number of I/O nodes provided in a typic...
Meenakshi A. Kandaswamy, Mahmut T. Kandemir, Alok ...
ESWS
2009
Springer
15 years 4 months ago
Improving Ontology Matching Using Meta-level Learning
Despite serious research efforts, automatic ontology matching still suffers from severe problems with respect to the quality of matching results. Existing matching systems trade-of...
Kai Eckert, Christian Meilicke, Heiner Stuckenschm...