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» Learning Classifiers from Semantically Heterogeneous Data
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ICDE
2008
IEEE
165views Database» more  ICDE 2008»
14 years 11 months ago
Online Failure Forecast for Fault-Tolerant Data Stream Processing
In this paper, we present a new online failure forecast system to achieve predictive failure management for fault-tolerant data stream processing. Different from previous reactive ...
Xiaohui Gu, Spiros Papadimitriou, Philip S. Yu, Sh...
SEMWEB
2010
Springer
13 years 7 months ago
Supporting Natural Language Processing with Background Knowledge: Coreference Resolution Case
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
Volha Bryl, Claudio Giuliano, Luciano Serafini, Ka...
KDD
2010
ACM
286views Data Mining» more  KDD 2010»
13 years 8 months ago
Nonnegative shared subspace learning and its application to social media retrieval
Although tagging has become increasingly popular in online image and video sharing systems, tags are known to be noisy, ambiguous, incomplete and subjective. These factors can ser...
Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Tru...
ADAPTIVE
2007
Springer
14 years 3 months ago
Semantic Web Technologies for the Adaptive Web
Ontologies and reasoning are the key terms brought into focus by the semantic web community. Formal representation of ontologies in a common data model on the web can be taken as a...
Peter Dolog, Wolfgang Nejdl
ICCBR
2005
Springer
14 years 3 months ago
Language Games: Solving the Vocabulary Problem in Multi-Case-Base Reasoning
The problem of heterogeneous case representation poses a major obstacle to realising real-life multi-case-base reasoning (MCBR) systems. The knowledge overhead in developing and ma...
Paolo Avesani, Conor Hayes, Marco Cova