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» Procedural Modeling of Interconnected Structures
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ILP
1999
Springer
13 years 11 months ago
Probabilistic Relational Models
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Daphne Koller
WSC
1997
13 years 8 months ago
Structured Models and Dynamic Systems Analysis: The Integration of the IDEF0/IDEF3 Modeling Methods and Discrete Event Simulatio
The role of modeling and simulation is receiving much press of late. However, the lack of practice in employing a link between the two is alarming. A static model is used to under...
Larry Whitman, Brian L. Huff, Adrien Presley
UAI
1996
13 years 8 months ago
Learning Bayesian Networks with Local Structure
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
Nir Friedman, Moisés Goldszmidt
CDC
2008
IEEE
110views Control Systems» more  CDC 2008»
13 years 9 months ago
Topological identification in networks of dynamical systems
The paper deals with the problem of reconstructing the tree-like topological structure of a network of linear dynamical systems. A distance function is defined in order to evaluat...
Donatello Materassi, Giacomo Innocenti
CVPR
2008
IEEE
14 years 2 months ago
Scene understanding with discriminative structured prediction
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...
Jinhui Yuan, Jianmin Li, Bo Zhang