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DCOSS
2005
Springer
14 years 1 months ago
Routing Explicit Side Information for Data Compression in Wireless Sensor Networks
Abstract. Two difficulties in designing data-centric routes [2–5] in wireless sensor networks are the lack of reasonably practical data aggregation models and the high computatio...
Huiyu Luo, Gregory J. Pottie
TACS
2001
Springer
14 years 23 days ago
The UDP Calculus: Rigorous Semantics for Real Networking
Network programming is notoriously hard to understand: one has to deal with a variety of protocols (IP, ICMP, UDP, TCP etc), concurrency, packet loss, host failure, timeouts, the c...
Andrei Serjantov, Peter Sewell, Keith Wansbrough
NIPS
2008
13 years 9 months ago
Partially Observed Maximum Entropy Discrimination Markov Networks
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
Jun Zhu, Eric P. Xing, Bo Zhang
CORR
2010
Springer
151views Education» more  CORR 2010»
13 years 7 months ago
Adding a referee to an interconnection network: What can(not) be computed in one round
Abstract—In this paper we ask which properties of a distributed network can be computed from a few amount of local information provided by its nodes. The distributed model we con...
Florent Becker, Martín Matamala, Nicolas Ni...
ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
13 years 6 months ago
Learning Markov Network Structure with Decision Trees
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
Daniel Lowd, Jesse Davis