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132
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UAI
2000
15 years 4 months ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping
122
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KDD
2009
ACM
164views Data Mining» more  KDD 2009»
16 years 4 months ago
Social influence analysis in large-scale networks
In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the fri...
Jie Tang, Jimeng Sun, Chi Wang, Zi Yang
111
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ECTEL
2007
Springer
15 years 9 months ago
The Everlasting Dawn of Educational Brokers - A Search for Key Design Principles
In the last couple of years we have evidenced several initiatives promoting the vision of open educational systems. Educational brokers are supposed to take advantage of this ‘in...
Bernd Simon, Petra Oberhumer, Robert Kristöfl
222
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SIGMOD
2008
ACM
116views Database» more  SIGMOD 2008»
16 years 3 months ago
SPADE: the system s declarative stream processing engine
In this paper, we present Spade - the System S declarative stream processing engine. System S is a large-scale, distributed data stream processing middleware under development at ...
Bugra Gedik, Henrique Andrade, Kun-Lung Wu, Philip...
141
Voted
KDD
2008
ACM
138views Data Mining» more  KDD 2008»
16 years 3 months ago
Quantitative evaluation of approximate frequent pattern mining algorithms
Traditional association mining algorithms use a strict definition of support that requires every item in a frequent itemset to occur in each supporting transaction. In real-life d...
Rohit Gupta, Gang Fang, Blayne Field, Michael Stei...