506 search results - page 59 / 102 » Learning Bayesian Networks from Incomplete Databases |
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SIGMOD
2006
ACM
15 years 10 months ago
2006
ACM
Real-world data -- especially when generated by distributed measurement infrastructures such as sensor networks -- tends to be incomplete, imprecise, and erroneous, making it impo...
KDD
2010
ACM
15 years 1 months ago
2010
ACM
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
NECO
2002
14 years 9 months ago
2002
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
ALT
2002
Springer
15 years 6 months ago
2002
Springer
Abstract. The explosion of data stored in commercial or administrational databases calls for intelligent techniques to discover the patterns hidden in them and thus to exploit all ...
IVA
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. How does a virtual agent’s gesturing behavior influence the user’s perception of communication quality and the agent’s personality? This question was investigated ...