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NIPS
2000
13 years 10 months ago
Active Learning for Parameter Estimation in Bayesian Networks
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
Simon Tong, Daphne Koller
WSC
1998
13 years 10 months ago
Bootstrapping and Validation of Metamodels in Simulation
Bootstrapping is a resampling technique that requires less computer time than simulation does. Bootstrapping -like simulation-must be defined for each type of application. This pa...
Jack P. C. Kleijnen, A. J. Feelders, Russell C. H....
WEBNET
2000
13 years 10 months ago
Developing Web Browser Recording Tools Using Server-Side Programming Technology
: It is always a challenge to present Web applications at a facility with no Internet connection. Traditional presentation methods such as transparencies or slides are inadequate f...
Chris J. Lu, Anantha Bangalore, Tony Tse
ATAL
2009
Springer
13 years 10 months ago
Conditional Dependence Networks in Requirements Engineering
In this paper we present a new model for the requirements analysis of a system. We offer a conceptual model defined following a visual modeling language, called dependence networks...
Guido Boella, Leendert van der Torre, Serena Villa...
JIRS
2006
131views more  JIRS 2006»
13 years 8 months ago
Inverse Kinematics of Human Arm Based on Multisensor Data Integration
The paper considers a technique for computation of the inverse kinematic model of the human arm. The approach is based on measurements of the hand position and orientation as well ...
Matjaz Mihelj