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SENSYS
2003
ACM
13 years 11 months ago
Spatiotemporal multicast in sensor networks
Sensor networks often involve the monitoring of mobile phenomena. We believe this task can be facilitated by a spatiotemporal multicast protocol which we call “mobicast”. Mobi...
Qingfeng Huang, Chenyang Lu, Gruia-Catalin Roman
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
14 years 6 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker
IV
2002
IEEE
88views Visualization» more  IV 2002»
13 years 11 months ago
Visualizing Spatially Varying Distribution Data
Box plot is a compact representation that encodes the minimum, maximum, mean, median, and quartile information of a distribution. In practice, a single box plot is drawn for each ...
David T. Kao, Alison Luo, Jennifer L. Dungan, Alex...
ICML
2005
IEEE
14 years 7 months ago
Compact approximations to Bayesian predictive distributions
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
Edward Snelson, Zoubin Ghahramani
APVIS
2011
12 years 6 months ago
Loose capacity-constrained representatives for the qualitative visual analysis in molecular dynamics
Molecular dynamics is a widely used simulation technique to investigate material properties and structural changes under external forces. The availability of more powerful cluster...
Steffen Frey, Thomas Schlömer, Sebastian Grot...