1521 search results - page 65 / 305 » A learning model for oscillatory networks |
156
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NECO
2002
15 years 6 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...
223
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AH
2000
Springer
15 years 10 months ago
2000
Springer
The paper investigates the use of computational intelligence for adaptive lesson presentation in a Web-based learning environment. A specialized connectionist architecture is devel...
172
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ISCC
2006
IEEE
16 years 12 days ago
2006
IEEE
Online monitoring of a physical phenomenon over a geographical area is a popular application of sensor networks. Networks representative of this class of applications are typicall...
184
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DIS
2009
Springer
16 years 29 days ago
2009
Springer
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
158
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SIBGRAPI
2003
IEEE
15 years 11 months ago
2003
IEEE
In this paper, we compare two distinct primal sketch feature extraction operators: one based on neural network feature learning and the other based on mathematical models of the f...