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» Algorithms for Large, Sparse Network Alignment Problems
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BMCBI
2010
229views more  BMCBI 2010»
15 years 4 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
ICNP
2005
IEEE
15 years 10 months ago
Shape Shifting Tries for Faster IP Route Lookup
Some of the fastest practical algorithms for IP route lookup are based on space-efficient encodings of multi-bit tries [1, 2]. Unfortunately, the time required by these algorithm...
Haoyu Song, Jonathan S. Turner, John W. Lockwood
BMCBI
2006
144views more  BMCBI 2006»
15 years 4 months ago
More robust detection of motifs in coexpressed genes by using phylogenetic information
Background: Several motif detection algorithms have been developed to discover overrepresented motifs in sets of coexpressed genes. However, in a noisy gene list, the number of ge...
Pieter Monsieurs, Gert Thijs, Abeer A. Fadda, Sigr...
CVPR
2007
IEEE
16 years 6 months ago
Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition
We present an unsupervised method for learning a hierarchy of sparse feature detectors that are invariant to small shifts and distortions. The resulting feature extractor consists...
Marc'Aurelio Ranzato, Fu Jie Huang, Y-Lan Boureau,...
MONET
2006
103views more  MONET 2006»
15 years 4 months ago
Minimum-Energy Broadcasting in Multi-hop Wireless Networks Using a Single Broadcast Tree
In this paper we address the minimum-energy broadcast problem in multi-hop wireless networks, so that all broadcast requests initiated by different source nodes take place on the s...
Ioannis Papadimitriou, Leonidas Georgiadis