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» Bounded Model Debugging
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142
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WWW
2006
ACM
16 years 3 months ago
Large-scale text categorization by batch mode active learning
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
218
Voted
PODS
2009
ACM
112views Database» more  PODS 2009»
16 years 3 months ago
Optimal sampling from sliding windows
APPEARED IN ACM PODS-2009. A sliding windows model is an important case of the streaming model, where only the most "recent" elements remain active and the rest are disc...
Vladimir Braverman, Rafail Ostrovsky, Carlo Zaniol...
117
Voted
HICSS
2007
IEEE
100views Biometrics» more  HICSS 2007»
15 years 9 months ago
Performance Analysis of a Middleware Demultiplexing Pattern
A key enabler of the recently adopted, assemblycentric development approach for distributed real-time software systems is QoS-enabled middleware, which provides reusable building ...
U. Praphamontripong, Swapna S. Gokhale, Aniruddha ...
162
Voted
IJCNN
2007
IEEE
15 years 9 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot
128
Voted
PDCAT
2005
Springer
15 years 8 months ago
Optimal Routing in a Small-World Network
Recently a bulk of research [14, 5, 15, 9] has been done on the modelling of the smallworld phenomenon, which has been shown to be pervasive in social and nature networks, and eng...
Jianyang Zeng, Wen-Jing Hsu