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» Accuracy-aware data modeling in sensor networks
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KDD
2010
ACM
215views Data Mining» more  KDD 2010»
15 years 1 months ago
On the quality of inferring interests from social neighbors
This paper intends to provide some insights of a scientific problem: how likely one’s interests can be inferred from his/her social connections – friends, friends’ friends,...
Zhen Wen, Ching-Yung Lin
EMMCVPR
2003
Springer
15 years 2 months ago
Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications
The asymptotic distribution of estimates that are based on a sub-optimal search for the maximum of the log-likelihood function is considered. In particular, estimation schemes that...
Doron Blatt, Alfred O. Hero
TIT
2008
141views more  TIT 2008»
14 years 9 months ago
Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...
Olivier Roy, Martin Vetterli
ICML
2007
IEEE
15 years 10 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
SIGMOD
2006
ACM
156views Database» more  SIGMOD 2006»
15 years 9 months ago
MauveDB: supporting model-based user views in database systems
Real-world data -- especially when generated by distributed measurement infrastructures such as sensor networks -- tends to be incomplete, imprecise, and erroneous, making it impo...
Amol Deshpande, Samuel Madden