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» Learning from sensor network data
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UAI
2003
15 years 4 months ago
On Local Optima in Learning Bayesian Networks
This paper proposes and evaluates the k-greedy equivalence search algorithm (KES) for learning Bayesian networks (BNs) from complete data. The main characteristic of KES is that i...
Jens D. Nielsen, Tomás Kocka, José M...
116
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ECML
2007
Springer
15 years 9 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...
ICML
2005
IEEE
16 years 3 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
126
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MM
2005
ACM
166views Multimedia» more  MM 2005»
15 years 8 months ago
MedSMan: a streaming data management system over live multimedia
Querying live media streams is a challenging problem that is becoming an essential requirement in a growing number of applications. Research in multimedia information systems has ...
Bin Liu, Amarnath Gupta, Ramesh Jain
110
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CORR
2008
Springer
105views Education» more  CORR 2008»
15 years 2 months ago
Integrating OPC Data into GSN Infrastructures
This paper presents the design and the implementation of an interface software component between OLE for Process Control (OPC) formatted data and the Global ...
Olivier Passalacqua, Eric Benoit, Marc-Philippe Hu...