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» Embedding Heterogeneous Data Using Statistical Models
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KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 4 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
116
Voted
TVCG
2010
153views more  TVCG 2010»
15 years 22 days ago
A Visual Analytics Approach to Understanding Spatiotemporal Hotspots
As data sources become larger and more complex, the ability to effectively explore and analyze patterns amongst varying sources becomes a critical bottleneck in analytic reasoning...
Ross Maciejewski, Stephen Rudolph, Ryan Hafen, Ahm...
135
Voted
GI
2007
Springer
15 years 8 months ago
Semantic Web Technologies for Power Grid Management
: Utility companies worldwide are facing a multitude of new challenges, which can not be met with the historically grown, monolithic IT systems currently in use. Service oriented a...
Mathias Uslar, Nikolai Dahlem
NN
2010
Springer
225views Neural Networks» more  NN 2010»
15 years 24 days ago
Learning to imitate stochastic time series in a compositional way by chaos
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
Jun Namikawa, Jun Tani
VRML
2010
ACM
15 years 6 months ago
SpiderGL: a JavaScript 3D graphics library for next-generation WWW
Thanks to the WebGL graphics API specification for the JavaScript programming language, the possibility of using the GPU capabilities in a web browser without the need for an ad-...
Marco Di Benedetto, Federico Ponchio, Fabio Ganove...