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» Graphical Specification of Dynamic Network Structure
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KDD
1995
ACM
182views Data Mining» more  KDD 1995»
13 years 9 months ago
Accelerated Quantification of Bayesian Networks with Incomplete Data
Probabilistic expert systemsbased on Bayesian networks(BNs)require initial specification both a qualitative graphical structure and quantitative assessmentof conditional probabili...
Bo Thiesson
GD
2007
Springer
13 years 12 months ago
Visualizing Internet Evolution on the Autonomous Systems Level
We propose a visualization approach for large dynamic graph structures with high degree variation and low diameter. In particular, we reduce visual complexity by multiple modes of ...
Krists Boitmanis, Ulrik Brandes, Christian Pich
CP
2006
Springer
13 years 9 months ago
Decomposition of Multi-operator Queries on Semiring-Based Graphical Models
Abstract. In the last decades, the Satisfiability and Constraint Satisfaction Problem frameworks were extended to integrate aspects such as uncertainties, partial observabilities, ...
Cédric Pralet, Thomas Schiex, Gérard...
ICCV
2009
IEEE
14 years 10 months ago
Modelling Activity Global Temporal Dependencies using Time Delayed Probabilistic Graphical Model
We present a novel approach for detecting global behaviour anomalies in multiple disjoint cameras by learning time delayed dependencies between activities cross camera views. Sp...
Chen Change Loy, Tao Xiang and Shaogang Gong
JMLR
2010
140views more  JMLR 2010»
13 years 17 days ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink