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CORR
2008
Springer
167views Education» more  CORR 2008»
13 years 10 months ago
Energy Scaling Laws for Distributed Inference in Random Networks
The energy scaling laws of multihop data fusion networks for distributed inference are considered. The fusion network consists of randomly located sensors independently distributed...
Animashree Anandkumar, Joseph E. Yukich, Lang Tong...
ICML
2010
IEEE
13 years 8 months ago
Heterogeneous Continuous Dynamic Bayesian Networks with Flexible Structure and Inter-Time Segment Information Sharing
Classical dynamic Bayesian networks (DBNs) are based on the homogeneous Markov assumption and cannot deal with heterogeneity and non-stationarity in temporal processes. Various ap...
Frank Dondelinger, Sophie Lebre, Dirk Husmeier
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
14 years 4 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
CODES
2005
IEEE
14 years 3 months ago
Energy conscious online architecture adaptation for varying latency constraints in sensor network applications
Sensor network applications face continuously changing environments, which impose varying processing loads on the sensor node. This paper presents an online control method which a...
Sankalp Kallakuri, Alex Doboli
ACSD
2010
IEEE
220views Hardware» more  ACSD 2010»
13 years 8 months ago
Towards Performance Evaluation of Mobile Ad Hoc Network Protocols
We present a formal framework to evaluate stochastic properties of MANET protocols. It captures the interplay between stochastic behavior of protocols deployed at different network...
Fatemeh Ghassemi, Ali Movaghar, Wan Fokkink