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AAAI
2008
15 years 3 days ago
Latent Tree Models and Approximate Inference in Bayesian Networks
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...
Yi Wang, Nevin Lianwen Zhang, Tao Chen
INFOCOM
2007
IEEE
15 years 4 months ago
Optimal Policies for Distributed Data Aggregation in Wireless Sensor Networks
Abstract— We consider the scenario of distributed data aggregation in wireless sensor networks, where each sensor can obtain and estimate the information of the whole sensing fi...
Zhenzhen Ye, Alhussein A. Abouzeid, Jing Ai
NOSSDAV
2004
Springer
15 years 3 months ago
Passive inference of path correlation
Overlays have been proposed as a means to improve application performance in many areas, including multimedia streaming and content distribution. Some overlays use parallel transm...
Lili Wang, Jim Griffioen, Kenneth L. Calvert, Sher...
AI
2006
Springer
15 years 1 months ago
An Improved LAZY-AR Approach to Bayesian Network Inference
We propose LAZY arc-reversal with variable elimination (LAZY-ARVE) as a new approach to probabilistic inference in Bayesian networks (BNs). LAZY-ARVE is an improvement upon LAZY ar...
Cory J. Butz, Shan Hua
ICDE
2009
IEEE
106views Database» more  ICDE 2009»
15 years 11 months ago
Dynamic Approaches to In-network Aggregation
Collaboration between small-scale wireless devices hinges on their ability to infer properties shared across multiple nearby nodes. Wireless-enabled mobile devices in particular cr...
Oliver Kennedy, Christoph Koch, Alan J. Demers