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» Evaluating Algorithms for Concept Description
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MIR
2005
ACM
129views Multimedia» more  MIR 2005»
14 years 2 months ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang
TKDE
2008
231views more  TKDE 2008»
13 years 9 months ago
Personalized Concept-Based Clustering of Search Engine Queries
A major problem of current Web search is that search queries are usually short and ambiguous, and thus are insufficient for specifying the precise user needs. To alleviate this pro...
Kenneth Wai-Ting Leung, Wilfred Ng, Dik Lun Lee
LAWEB
2004
IEEE
13 years 10 months ago
Integrating Semantic Concept Similarity in Model-Based Web Applications
Model-based design methods, and model-based architectures, have gained adoption in authoring applications for the WWW. This is further reinforced by the increasing visibility of t...
Cristiano Rocha, Daniel Schwabe, Marcus Poggi de A...
INLG
2010
Springer
13 years 7 months ago
Charting the Potential of Description Logic for the Generation of Referring Expressions
The generation of referring expressions (GRE), an important subtask of Natural Language Generation (NLG) is to generate phrases that uniquely identify domain entities. Until recen...
Yuan Ren, Kees van Deemter, Jeff Z. Pan
CADE
2010
Springer
13 years 10 months ago
Optimized Description Logic Reasoning via Core Blocking
State of the art reasoners for expressive description logics, such as those that underpin the OWL ontology language, are typically based on highly optimized implementations of (hyp...
Birte Glimm, Ian Horrocks, Boris Motik