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ICML
2008
IEEE
15 years 10 months ago
Laplace maximum margin Markov networks
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
Jun Zhu, Eric P. Xing, Bo Zhang
TSP
2008
147views more  TSP 2008»
14 years 9 months ago
Decentralized Activation in Dense Sensor Networks via Global Games
Decentralized activation in wireless sensor networks is investigated for energy-efficient monitoring using the theory of global games. Given a large number of sensors which can ope...
V. Krishnamurthy
DCOSS
2006
Springer
15 years 1 months ago
Efficient In-Network Processing Through Local Ad-Hoc Information Coalescence
We consider in-network processing via local message passing. The considered setting involves a set of sensors each of which can communicate with a subset of other sensors. There is...
Onur Savas, Murat Alanyali, Venkatesh Saligrama
IJCNN
2006
IEEE
15 years 3 months ago
Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
Bernardete Ribeiro, Armando Vieira, João Ca...
ANCS
2009
ACM
14 years 7 months ago
Progressive hashing for packet processing using set associative memory
As the Internet grows, both the number of rules in packet filtering databases and the number of prefixes in IP lookup tables inside the router are growing. The packet processing e...
Michel Hanna, Socrates Demetriades, Sangyeun Cho, ...