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ICML
2005
IEEE
14 years 8 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
CIDM
2007
IEEE
14 years 2 months ago
Structure Prediction in Temporal Networks using Frequent Subgraphs
— There are several types of processes which can be modeled explicitly by recording the interactions between a set of actors over time. In such applications, a common objective i...
Mayank Lahiri, Tanya Y. Berger-Wolf
ICC
2007
IEEE
14 years 2 months ago
A Cube Oriented Ray Launching Algorithm for 3D Urban Field Strength Prediction
Abstract— Fast radio wave propagation prediction is of tremendous interest for planning and optimization of cellular radio networks. We propose a cube oriented 3D ray launching a...
Rudolf Mathar, Michael Reyer, Michael Schmeink
BDIM
2008
IEEE
205views Business» more  BDIM 2008»
14 years 2 months ago
Mining semantic relations using NetFlow
—Knowing the dependencies among computing assets and services provides insights into the computing and business landscape, therefore, facilitating low-risk timely changes in supp...
Alexandru Caracas, Andreas Kind, Dieter Gantenbein...
CVPR
2008
IEEE
14 years 10 months ago
Order consistent change detection via fast statistical significance testing
Robustness to illumination variations is a key requirement for the problem of change detection which in turn is a fundamental building block for many visual surveillance applicati...
Maneesh Singh, Vasu Parameswaran, Visvanathan Rame...