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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
COLT
2001
Springer
14 years 5 hour ago
Rademacher and Gaussian Complexities: Risk Bounds and Structural Results
We investigate the use of certain data-dependent estimates of the complexity of a function class, called Rademacher and Gaussian complexities. In a decision theoretic setting, we ...
Peter L. Bartlett, Shahar Mendelson
CVPR
2012
IEEE
11 years 10 months ago
Sum-product networks for modeling activities with stochastic structure
This paper addresses recognition of human activities with stochastic structure, characterized by variable spacetime arrangements of primitive actions, and conducted by a variable ...
Mohamed R. Amer, Sinisa Todorovic
ARC
2008
Springer
117views Hardware» more  ARC 2008»
13 years 7 months ago
Controlling across complex networks - Emerging links between networks and control
: This paper discusses the interplay between networks and control systems. As we gain more understanding about the structure and dynamics of physical networks, their effects on the...
A. Clauset, Herbert G. Tanner, Chaouki T. Abdallah...
TOOLS
2000
IEEE
13 years 12 months ago
Spatiotemporal Data Modeling and Management: A Survey
Many data objects in the real world have attributes about location and time. Such spatiotemporal objects can be found in applications such Geographic Information Systems (GIS), env...
Xiaoyu Wang, Xiaofang Zhou, Sanglu Lu