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» Learning Continuous Time Bayesian Networks
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UAI
2003
13 years 9 months ago
Robust Independence Testing for Constraint-Based Learning of Causal Structure
This paper considers a method that combines ideas from Bayesian learning, Bayesian network inference, and classical hypothesis testing to produce a more reliable and robust test o...
Denver Dash, Marek J. Druzdzel
TMA
2010
Springer
137views Management» more  TMA 2010»
13 years 5 months ago
K-Dimensional Trees for Continuous Traffic Classification
Abstract. The network measurement community has proposed multiple machine learning (ML) methods for traffic classification during the last years. Although several research works ha...
Valentín Carela-Español, Pere Barlet...
GI
2001
Springer
14 years 6 days ago
Corporate Information Network (COIN): The Fraunhofer IESE Experience Factory
Experience-based continuous learning is essential for improving products, processes, and technologies in emerging as well as established areas of business and engineering science....
Andreas Jedlitschka, Klaus-Dieter Althoff, Bjö...
HUC
2010
Springer
13 years 8 months ago
Bayesian recognition of motion related activities with inertial sensors
This work presents the design and evaluation of an activity recognition system for seven important motion related activities. The only sensor used is an Inertial Measurement Unit ...
Korbinian Frank, Maria Josefa Vera Nadales, Patric...
VLDB
2006
ACM
162views Database» more  VLDB 2006»
14 years 8 months ago
Dependency trees in sub-linear time and bounded memory
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
Dan Pelleg, Andrew W. Moore