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» Structural Inference of Hierarchies in Networks
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SP
2008
IEEE
159views Security Privacy» more  SP 2008»
15 years 1 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
AI
2010
Springer
15 years 1 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
COMCOM
2004
138views more  COMCOM 2004»
15 years 1 months ago
Issues with inferring Internet topological attributes
A number of recent studies of Internet network structure are based on data collected from inter-domain BGP routing tables and tools, such as traceroute, to probe end-to-end paths....
Lisa Amini, Anees Shaikh, Henning Schulzrinne
AAAI
2010
15 years 2 months ago
Active Inference for Collective Classification
Labeling nodes in a network is an important problem that has seen a growing interest. A number of methods that exploit both local and relational information have been developed fo...
Mustafa Bilgic, Lise Getoor
UAI
1998
15 years 2 months ago
Context-specific approximation in probabilistic inference
There is evidence that the numbers in probabilistic inference don't really matter. This paper considers the idea that we can make a probabilistic model simpler by making fewe...
David Poole