1521 search results - page 188 / 305 » A learning model for oscillatory networks |
208
click to vote
IJCNN
2006
IEEE
16 years 13 days ago
2006
IEEE
— A solution for the slow convergence of most learning rules for Recurrent Neural Networks (RNN) has been proposed under the terms Liquid State Machines (LSM) and Echo State Netw...
173
click to vote
MSWIM
2009
ACM
16 years 1 months ago
2009
ACM
The increasing number of independent IEEE 802.11 WLANs owned and managed by autonomous users has led to increased interference, resulting in performance degradation and unfairness...
183
click to vote
IJCAI
2007
15 years 7 months ago
2007
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
178
click to vote
CIKM
2010
Springer
15 years 4 months ago
2010
Springer
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
193
click to vote
IPC
2007
IEEE
16 years 22 days ago
2007
IEEE
Current context-aware adaptation techniques are limited in their support for user personalisation. Complex codebases, a reliance on developer modification and an inability to auto...