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» The importance of learning in fuzzy systems
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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
CORR
2010
Springer
100views Education» more  CORR 2010»
13 years 3 months ago
Discovering Knowledge from Multi-modal Lecture Recordings
Educational media mining is the process of converting raw media data from educational systems to useful information that can be used to design learning systems, answer research qu...
Kannan Rajkumar, Christian Guetl
IJCAI
1989
13 years 10 months ago
Selective Learning of Macro-operators with Perfect Causality
A macro-operator is an integrated operator consisting of plural primitive operators and enables a problem solver to solve more efficiently. However, if a learning system generates...
Seiji Yamada, Sabinro Tsuji
ICAIL
2007
ACM
14 years 23 days ago
Essential deduplication functions for transactional databases in law firms
As massive document repositories and knowledge management systems continue to expand, in proprietary environments as well as on the Web, the need for duplicate detection becomes i...
Jack G. Conrad, Edward L. Raymond
AI
2008
Springer
14 years 3 months ago
Using Unsupervised Learning for Network Alert Correlation
Alert correlation systems are post-processing modules that enable intrusion analysts to find important alerts and filter false positives efficiently from the output of Intrusion...
Reuben Smith, Nathalie Japkowicz, Maxwell Dondo, P...