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ICML
1998
IEEE
15 years 10 months ago
An Efficient Boosting Algorithm for Combining Preferences
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...
PODS
2005
ACM
115views Database» more  PODS 2005»
15 years 10 months ago
A divide-and-merge methodology for clustering
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...
SIGIR
2003
ACM
15 years 3 months ago
Automatic ranking of retrieval systems in imperfect environments
The empirical investigation of the effectiveness of information retrieval (IR) systems requires a test collection, a set of query topics, and a set of relevance judgments made by ...
Rabia Nuray, Fazli Can
ICSE
2004
IEEE-ACM
15 years 9 months ago
Extending the Representational State Transfer (REST) Architectural Style for Decentralized Systems
Because it takes time and trust to establish agreement, traditional consensus-based architectural styles cannot safely accommodate resources that change faster than it takes to tr...
Rohit Khare, Richard N. Taylor
COMPSAC
2007
IEEE
15 years 4 months ago
Performance Prediction of Service-Oriented Applications based on an Enterprise Service Bus
An Enterprise Service Bus (ESB) is a standards-based integration platform that combines messaging, web services, data transformation, and intelligent routing in a highly distribut...
Yan Liu, Ian Gorton, Liming Zhu