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» Learning Gaussian processes from multiple tasks
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IJCAI
2003
15 years 1 months ago
Hierarchical Hidden Markov Models for Information Extraction
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Marios Skounakis, Mark Craven, Soumya Ray
LREC
2008
154views Education» more  LREC 2008»
15 years 1 months ago
A Comparative Evaluation of Term Recognition Algorithms
Automatic Term recognition (ATR) is a fundamental processing step preceding more complex tasks such as semantic search and ontology learning. From a large number of methodologies ...
Ziqi Zhang, José Iria, Christopher Brewster...
IJCNN
2006
IEEE
15 years 6 months ago
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
Deborah Duong, James Venuto, Ben Goertzel, Ryan Ri...
PIMRC
2008
IEEE
15 years 6 months ago
The Wireless Engset Multi-Rate Loss Model for the Handoff traffic analysis in W-CDMA networks
—The call-level performance modelling and evaluation of 3G cellular networks is important for the proper network dimensioning and efficient use of the network resources, such as ...
Vassilios G. Vassilakis, Michael D. Logothetis
EDBT
2000
ACM
15 years 3 months ago
Performance and Availability Assessment for the Configuration of Distributed Workflow Management Systems
Workflow management systems (WFMSs) that are geared for the orchestration of enterprise-wide or even "virtual-enterprise"-style business processes across multiple organi...
Michael Gillmann, Jeanine Weißenfels, Gerhar...