1077 search results - page 35 / 216 » Learning network structure from passive measurements |
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
The use of domain knowledge in a learner can greatly improve the models it produces. However, high-quality expert knowledge is very difficult to obtain. Traditionally, researchers...
IIE
2008
13 years 7 months ago
2008
Abstract. An exploratory study of students' engagement in online learning and knowledge building is presented in this paper. Learning in an online community, composed of stude...
NPL
2006
13 years 7 months ago
2006
The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...
APIN
2004
13 years 7 months ago
2004
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...