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JMLR
2010
149views more  JMLR 2010»
13 years 2 months ago
Learning Bayesian Network Structure using LP Relaxations
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
Tommi Jaakkola, David Sontag, Amir Globerson, Mari...
IJWMC
2006
84views more  IJWMC 2006»
13 years 7 months ago
Resilient and energy efficient tracking in sensor networks
: We present a new distributed mechanism for tracking moving objects with a network of sensors. To track such objects efficiently and accurately, we need techniques that allow the ...
Maria Halkidi, Dimitris Papadopoulos, Vana Kaloger...
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
14 years 8 months ago
Exploiting response models: optimizing cross-sell and up-sell opportunities in banking
The banking industry regularly mounts campaigns to improve customer value by offering new products to existing customers. In recent years this approach has gained significant mome...
Andrew Storey, Marc-David Cohen
ISBI
2008
IEEE
14 years 8 months ago
Controlling the error in FMRI: Hypothesis testing or set estimation?
This paper describes a new methodology and associated theoretical analysis for rapid and accurate extraction of activation regions from functional MRI data. Most fMRI data analysi...
Aarti Singh, Rebecca Willett, Robert Nowak, Zachar...
BMCBI
2006
157views more  BMCBI 2006»
13 years 7 months ago
Comparison of protein interaction networks reveals species conservation and divergence
Background: Recent progresses in high-throughput proteomics have provided us with a first chance to characterize protein interaction networks (PINs), but also raised new challenge...
Zhi Liang, Meng Xu, Maikun Teng, Liwen Niu