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» Structure learning of Bayesian networks using constraints
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CVPR
2011
IEEE
15 years 22 days ago
Multi-agent event recognition in structured scenarios
We present a framework for the automatic recognition of complex multi-agent events in settings where structure is imposed by rules that agents must follow while performing activit...
Vlad Morariu, Larry Davis
GLOBECOM
2008
IEEE
15 years 11 months ago
PeerGraph: A Distributed Data Structure for Peer-to-Peer Streaming
Video streaming over peer-to-peer networks has received significant attention recently. Accordingly, much work is done on video streaming under the assumption that all the peers ...
Ali Saman Tosun, Turgay Korkmaz
ILP
1999
Springer
15 years 8 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
IJCAI
2003
15 years 5 months ago
Inductive Learning in Less Than One Sequential Data Scan
Most recent research of scalable inductive learning on very large dataset, decision tree construction in particular, focuses on eliminating memory constraints and reducing the num...
Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo
IJCNN
2006
IEEE
15 years 10 months ago
Learning to Rank by Maximizing AUC with Linear Programming
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...
Kaan Ataman, W. Nick Street, Yi Zhang