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INFOCOM
2010
IEEE
15 years 11 days ago
Beyond Triangle Inequality: Sifting Noisy and Outlier Distance Measurements for Localization
—Knowing accurate positions of nodes in wireless ad-hoc and sensor networks is essential for a wide range of pervasive and mobile applications. However, errors are inevitable in ...
Lirong Jian, Zheng Yang, Yunhao Liu
145
Voted
TWC
2010
14 years 8 months ago
Distributed Node Selection for Sequential Estimation over Noisy Communication Channels
This paper proposes a framework for distributed sequential parameter estimation in wireless sensor networks. In the proposed scheme, the estimator is updated sequentially at the c...
Thakshila Wimalajeewa, Sudharman K. Jayaweera
ICMLA
2009
14 years 11 months ago
Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule
Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...
Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapu...
TNN
1998
92views more  TNN 1998»
15 years 1 months ago
Inductive inference from noisy examples using the hybrid finite state filter
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
Marco Gori, Marco Maggini, Enrico Martinelli, Giov...
249
Voted
INFOCOM
2008
IEEE
15 years 8 months ago
AdapCode: Adaptive Network Coding for Code Updates in Wireless Sensor Networks
—Code updates, such as those for debugging purposes, are frequent and expensive in the early development stages of wireless sensor network applications. We propose AdapCode, a re...
I-Hong Hou, Yu-En Tsai, Tarek F. Abdelzaher, Indra...