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» Learning by Experience Networks in Learning Organizations
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SENSYS
2004
ACM
15 years 6 months ago
Hardware design experiences in ZebraNet
The enormous potential for wireless sensor networks to make a positive impact on our society has spawned a great deal of research on the topic, and this research is now producing ...
Pei Zhang, Christopher M. Sadler, Stephen A. Lyon,...
HICSS
2010
IEEE
155views Biometrics» more  HICSS 2010»
15 years 7 months ago
Experiences Validating the Access Policy Tool in Industrial Settings
—The Access Policy Tool (APT) analyzes the firewall configuration in an enterprise network for compliance with global access policy, e.g., such as describes the industry’s be...
David M. Nicol, William H. Sanders, Mouna Seri, Sa...
93
Voted
ECML
2007
Springer
15 years 6 months ago
On Phase Transitions in Learning Sparse Networks
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ron...
105
Voted
ICML
2005
IEEE
16 years 1 months ago
Discriminative versus generative parameter and structure learning of Bayesian network classifiers
In this paper, we compare both discriminative and generative parameter learning on both discriminatively and generatively structured Bayesian network classifiers. We use either ma...
Franz Pernkopf, Jeff A. Bilmes
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 1 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...