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FLAIRS
2008
15 years 9 months ago
A First-Order Bayesian Tool for Probabilistic Ontologies
One of the major weaknesses of current research on the Semantic Web (SW) is the lack of proper means to represent and reason with uncertainty. A number of recent efforts from the ...
Paulo Cesar G. da Costa, Marcelo Ladeira, Rommel N...
CCR
2008
76views more  CCR 2008»
15 years 7 months ago
WebClass: adding rigor to manual labeling of traffic anomalies
Despite the flurry of anomaly-detection papers in recent years, effective ways to validate and compare proposed solutions have remained elusive. We argue that evaluating anomaly d...
Haakon Ringberg, Augustin Soule, Jennifer Rexford
JMLR
2006
118views more  JMLR 2006»
15 years 6 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
IJAR
2006
89views more  IJAR 2006»
15 years 6 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
TRIDENTCOM
2010
IEEE
15 years 4 months ago
G-Lab Deep: Cross-Layer Composition and Security for a Flexible Future Internet
The Internet enables the way how global businesses and communities communicate today. In the last years, however, new demands have collided with old designs, resulting in a complex...
Carsten Schmoll, Christian Henke, Dirk Hoffstadt, ...