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PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
13 years 11 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
WSC
2007
13 years 10 months ago
Modeling and simulation for customer driven manufacturing system design and operations planning
Agility, speed and flexibility in production networks are required in today's global competition in the flat world. The accuracy of order date delivery promises is a key elem...
Juhani Heilala, Jari Montonen, Arttu Salmela, Pasi...
ICWSM
2008
13 years 9 months ago
Competing to Share Expertise: The Taskcn Knowledge Sharing Community
"Witkeys" are websites in China that form a rapidly growing web-based knowledge market. A user who posts a task also offers a small fee, and many other users submit thei...
Jiang Yang, Lada A. Adamic, Mark S. Ackerman
NIPS
2003
13 years 9 months ago
Nonstationary Covariance Functions for Gaussian Process Regression
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
Christopher J. Paciorek, Mark J. Schervish
CCR
2008
77views more  CCR 2008»
13 years 7 months ago
What would Darwin think about clean-slate architectures?
As significant resources are directed towards clean-slate networking research, it is imperative to understand how cleanslate architectural research compares to the diametrically o...
Constantine Dovrolis