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RECOMB
2005
Springer
14 years 7 months ago
The Factor Graph Network Model for Biological Systems
Abstract. We introduce an extended computational framework for studying biological systems. Our approach combines formalization of existing qualitative models that are in wide but ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
NIPS
2000
13 years 8 months ago
Learning Continuous Distributions: Simulations With Field Theoretic Priors
Learning of a smooth but nonparametric probability density can be regularized using methods of Quantum Field Theory. We implement a field theoretic prior numerically, test its eff...
Ilya Nemenman, William Bialek
MICRO
2003
IEEE
125views Hardware» more  MICRO 2003»
13 years 12 months ago
Runtime Power Monitoring in High-End Processors: Methodology and Empirical Data
With power dissipation becoming an increasingly vexing problem across many classes of computer systems, measuring power dissipation of real, running systems has become crucial for...
Canturk Isci, Margaret Martonosi
BMCBI
2007
215views more  BMCBI 2007»
13 years 6 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
CODES
2011
IEEE
12 years 6 months ago
DistRM: distributed resource management for on-chip many-core systems
The trend towards many-core systems comes with various issues, among them their highly dynamic and non-predictable workloads. Hence, new paradigms for managing resources of many-c...
Sebastian Kobbe, Lars Bauer, Daniel Lohmann, Wolfg...