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ICML
2010
IEEE
15 years 5 months ago
Continuous-Time Belief Propagation
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
Tal El-Hay, Ido Cohn, Nir Friedman, Raz Kupferman
PVLDB
2010
172views more  PVLDB 2010»
15 years 3 months ago
Database-support for Continuous Prediction Queries over Streaming Data
Prediction is emerging as an essential ingredient for real-time monitoring, planning and decision support applications such as intrusion detection, e-commerce pricing and automate...
Mert Akdere, Ugur Çetintemel, Eli Upfal
SIAMCO
2010
132views more  SIAMCO 2010»
14 years 11 months ago
Continuous-Time Average-Preserving Opinion Dynamics with Opinion-Dependent Communications
We study a simple continuous-time multiagent system related to Krause's model of opinion dynamics: each agent holds a real value, and this value is continuously attracted by e...
Vincent D. Blondel, Julien M. Hendrickx, John N. T...
BNCOD
2011
356views Database» more  BNCOD 2011»
14 years 4 months ago
Achieving High Freshness and Optimal Throughput in CPU-Limited Execution of Multi-join Continuous Queries
Due to high data volumes and unpredictable arrival rates, continuous query systems processing expensive queries in real-time may fail to keep up with the input data streams - resul...
Abhishek Mukherji, Elke A. Rundensteiner, Matthew ...
129
Voted
NIPS
1996
15 years 5 months ago
Continuous Sigmoidal Belief Networks Trained using Slice Sampling
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
Brendan J. Frey