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» Learning Rules from Distributed Data
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131
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MOBIHOC
2001
ACM
16 years 2 months ago
Localized algorithms in wireless ad-hoc networks: location discovery and sensor exposure
The development of practical, localized algorithms is probably the most needed and most challenging task in wireless ad-hoc sensor networks (WASNs). Localized algorithms are a spe...
Seapahn Meguerdichian, Sasha Slijepcevic, Vahag Ka...
156
Voted
SP
1991
IEEE
121views Security Privacy» more  SP 1991»
15 years 6 months ago
The SRI IDES Statistical Anomaly Detector
SRI International’s real-time intrusion-detection expert system (IDES) system contains a statistical subsystem that observes behavior on a moniioreci cornpuier system and adapti...
H. S. Javitz, A. Valdes
159
Voted
ICANN
2010
Springer
15 years 3 months ago
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
Asja Fischer, Christian Igel
126
Voted
JCM
2007
105views more  JCM 2007»
15 years 2 months ago
Generalization Capabilities Enhancement of a Learning System by Fuzzy Space Clustering
Abstract— We have used measurements taken on real network to enhance the performance of our radio network planning tool. A distribution learning technique is adopted to realize t...
Zakaria Nouir, Berna Sayraç, Benoît F...
127
Voted
ATAL
2009
Springer
15 years 9 months ago
Learning a model of speaker head nods using gesture corpora
During face-to-face conversation, the speaker’s head is continually in motion. These movements serve a variety of important communicative functions. Our goal is to develop a mod...
Jina Lee, Stacy Marsella