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IJCAI
2007
13 years 11 months ago
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
NETWORKING
2008
13 years 11 months ago
On the Social Cost of Distributed Selfish Content Replication
We study distributed content replication networks formed voluntarily by selfish autonomous users, seeking access to information objects that originate from distant servers. Each us...
Gerasimos G. Pollatos, Orestis Telelis, Vassilis Z...
VG
2003
13 years 11 months ago
Rapid Emission Tomography Reconstruction
We present new implementations of the Maximum Likelihood Expectation Maximization (EM) algorithm and the related Ordered Subset EM (OSEM) algorithm. Our implementation is based on...
Ken Chidlow, Torsten Möller
CLEF
2009
Springer
13 years 10 months ago
Unsupervised Word Decomposition with the Promodes Algorithm
We present Promodes, an algorithm for unsupervised word decomposition, which is based on a probabilistic generative model. The model considers segment boundaries as hidden variable...
Sebastian Spiegler, Bruno Golénia, Peter A....
ICASSP
2010
IEEE
13 years 9 months ago
Distributed bearing estimation via matrix completion
We consider bearing estimation of multiple narrow-band plane waves impinging on an array of sensors. For this problem, bearing estimation algorithms such as minimum variance disto...
Andrew Waters, Volkan Cevher