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» Dynamic Planning with Bayesian Network Applied in MAS
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NIPS
1998
13 years 10 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
PVLDB
2010
172views more  PVLDB 2010»
13 years 7 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
SUTC
2010
IEEE
14 years 13 days ago
A Log-Ratio Information Measure for Stochastic Sensor Management
—In distributed sensor networks, computational and energy resources are in general limited. Therefore, an intelligent selection of sensors for measurements is of great importance...
Daniel Lyons, Benjamin Noack, Uwe D. Hanebeck
ICAC
2007
IEEE
14 years 2 months ago
A Regression-Based Analytic Model for Dynamic Resource Provisioning of Multi-Tier Applications
— The multi-tier implementation has become the industry standard for developing scalable client-server enterprise applications. Since these applications are performance sensitive...
Qi Zhang, Ludmila Cherkasova, Evgenia Smirni
ICMCS
2005
IEEE
113views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Network-Adaptive Frame-Expansion-Based Packet Video Coding for Erasure Channels
This paper proposes a novel error-resilient packet video coding method which is designed to operate on unreliable IP networks suffering from large bursts of packet losses. The mai...
Andrew G. Backhouse, Irene Y. H. Gu