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» Measuring and Predicting Object Importance
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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 4 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
APPINF
2003
15 years 18 days ago
Industrial Diagnostics using Algebra of Uncertain Temporal Relations
Industrial diagnostics is an important application area for many AI formalisms. Temporal diagnostics, based on analyzing temporal relations between values of crucial variables, is...
Vladimir Ryabov, Vagan Y. Terziyan
AIRS
2009
Springer
15 years 5 months ago
Language Models of Collaborative Filtering
Abstract. Collaborative filtering is a major technique to make personalized recommendations about information items (movies, books, webpages etc) to individual users. In the liter...
Jun Wang
HIPC
2003
Springer
15 years 4 months ago
Double-Loop Feedback-Based Scheduling Approach for Distributed Real-Time Systems
The use of feedback control techniques has been gaining importance in real-time scheduling as a means to provide predictable performance in the face of uncertain workload. In this ...
Suzhen Lin, G. Manimaran
EUROMICRO
1998
IEEE
15 years 3 months ago
Approaches for Scheduling of Triggered Transactions in Real-Time Active Database Systems
A real-time active database system (RTADBS) has to provide capabilities for timely trigger of timeconstrained transactions and at the same time to process them, concurrently with ...
Kam-yiu Lam, Tony S. H. Lee