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ICALP
2005
Springer
15 years 10 months ago
On the Wake-Up Problem in Radio Networks
Abstract. Radio networks model wireless communication when processing units communicate using one wave frequency. This is captured by the property that multiple messages arriving s...
Bogdan S. Chlebus, Leszek Gasieniec, Dariusz R. Ko...
INFOCOM
2002
IEEE
15 years 9 months ago
Restoration Algorithms for Virtual Private Networks in the Hose Model
—A Virtual Private Network (VPN) aims to emulate the services provided by a private network over the shared Internet. The endpoints of e connected using abstractions such as Virt...
Giuseppe F. Italiano, Rajeev Rastogi, Bülent ...
BIRD
2008
Springer
141views Bioinformatics» more  BIRD 2008»
15 years 6 months ago
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Kevin Kontos, Gianluca Bontempi
NIPS
2004
15 years 6 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
BMCBI
2010
158views more  BMCBI 2010»
15 years 4 months ago
A Bayesian network approach to feature selection in mass spectrometry data
Background: Time-of-flight mass spectrometry (TOF-MS) has the potential to provide non-invasive, high-throughput screening for cancers and other serious diseases via detection of ...
Karl W. Kuschner, Dariya I. Malyarenko, William E....