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ESANN
2007
15 years 8 months ago
Adaptive Global Metamodeling with Neural Networks
Due to the scale and computational complexity of current simulation codes, metamodels (or surrogate models) have become indispensable tools for exploring and understanding the desi...
Dirk Gorissen, Wouter Hendrickx, Tom Dhaene
ICML
1996
IEEE
16 years 7 months ago
Discretizing Continuous Attributes While Learning Bayesian Networks
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Moisés Goldszmidt, Nir Friedman
EWSN
2008
Springer
16 years 6 months ago
Que: A Sensor Network Rapid Prototyping Tool with Application Experiences from a Data Center Deployment
Several considerable impediments stand in the way of sensor network prototype applications that wish to realize sustained deployments. These are: scale, longevity, data of interest...
David Chu, Feng Zhao, Jie Liu, Michel Goraczko
171
Voted
DIS
2009
Springer
16 years 1 months ago
Mining Heterogeneous Information Networks by Exploring the Power of Links
Knowledge is power but for interrelated data, knowledge is often hidden in massive links in heterogeneous information networks. We explore the power of links at mining heterogeneou...
Jiawei Han
ICC
2007
IEEE
116views Communications» more  ICC 2007»
16 years 1 months ago
Energy Maps for Large-scale, Mobile Wireless Networks
— Energy planning and optimization constitutes one of the most significant challenges for high-mobility networks. This paper proposes a novel framework to share, retain and re...
Min Kyoung Park, Volkan Rodoplu