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» An Algorithm for Knowledge Base Extraction
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ICDM
2010
IEEE
125views Data Mining» more  ICDM 2010»
15 years 3 months ago
Evolving Ensemble-Clustering to a Feedback-Driven Process
Abstract--Data clustering is a highly used knowledge extraction technique and is applied in more and more application domains. Over the last years, a lot of algorithms have been pr...
Martin Hahmann, Dirk Habich, Wolfgang Lehner
155
Voted
KDD
2009
ACM
204views Data Mining» more  KDD 2009»
16 years 5 months ago
Improving classification accuracy using automatically extracted training data
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...
IJCNN
2008
IEEE
15 years 11 months ago
Building meta-learning algorithms basing on search controlled by machine complexity
Abstract— Meta-learning helps us find solutions to computational intelligence (CI) challenges in automated way. Metalearning algorithm presented in this paper is universal and m...
Norbert Jankowski, Krzysztof Grabczewski
153
Voted
ICCBR
2007
Springer
15 years 11 months ago
Case-Based Planning and Execution for Real-Time Strategy Games
Abstract. Artificial Intelligence techniques have been successfully applied to several computer games. However in some kinds of computer games, like real-time strategy (RTS) games...
Santiago Ontañón, Kinshuk Mishra, Ne...
KAIS
2006
102views more  KAIS 2006»
15 years 5 months ago
Visual information extraction
Typographic and visual information is an integral part of textual documents. Most information extraction systems ignore most of this visual information, processing the text as a l...
Yonatan Aumann, Ronen Feldman, Yair Liberzon, Biny...