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» A Graph Theoretical Approach to Network Encoding Complexity
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AI
2002
Springer
14 years 9 months ago
The size distribution for Markov equivalence classes of acyclic digraph models
Bayesian networks, equivalently graphical Markov models determined by acyclic digraphs or ADGs (also called directed acyclic graphs or dags), have proved to be both effective and ...
Steven B. Gillispie, Michael D. Perlman
IJCNN
2006
IEEE
15 years 3 months ago
Local Support Vector Regression for Financial Time Series Prediction
— We consider the regression problem for financial time series. Typically, financial time series are non-stationary and volatile in nature. Because of its good generalization p...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
GI
2009
Springer
15 years 2 months ago
Massively-Parallel Simulation of Biochemical Systems
: Understanding biological evolution prompts for a detailed understanding of the realized phenotype. Biochemical and gene regulatory dynamics are a cornerstone for the physiology o...
Jens Ackermann, Paul Baecher, Thorsten Franzel, Mi...
TSP
2010
14 years 4 months ago
Optimization and analysis of distributed averaging with short node memory
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
ATAL
2009
Springer
15 years 4 months ago
Analyzing the performance of randomized information sharing
In large, collaborative, heterogeneous teams, team members often collect information that is useful to other members of the team. Recognizing the utility of such information and d...
Prasanna Velagapudi, Oleg A. Prokopyev, Katia P. S...