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ICANN
2005
Springer
15 years 3 months ago
Some Issues About the Generalization of Neural Networks for Time Series Prediction
Abstract. Some issues about the generalization of ANN training are investigated through experiments with several synthetic time series and real world time series. One commonly acce...
Wen Wang, Pieter H. A. J. M. van Gelder, J. K. Vri...

Publication
250views
15 years 11 months ago
Limited bus stop service: An evaluation of an implementation strategy
Transit agencies implement limited-stop (express) bus services as a mean to provide an attractive and competitive transportation mode when compared to the automobile. In 2008, the ...
El-Geneidy, A. & Surprenant-Legault, J.
70
Voted
FSS
2002
96views more  FSS 2002»
14 years 9 months ago
An approach to stopping problems of a dynamic fuzzy system
We formulate a stopping problem for dynamic fuzzy systems concerning with fuzzy decision environment. It could be regarded as a natural fuzzification of non-fuzzy stopping problem...
Masami Kurano, Masami Yasuda, Jun-ichi Nakagami, Y...
75
Voted
JGO
2010
89views more  JGO 2010»
14 years 8 months ago
Stopping rules in k-adaptive global random search algorithms
In this paper we develop a methodology for defining stopping rules in a general class of global random search algorithms that are based on the use of statistical procedures. To bu...
Anatoly A. Zhigljavsky, Emily Hamilton
ICML
2009
IEEE
15 years 10 months ago
Learning when to stop thinking and do something!
An anytime algorithm is capable of returning a response to the given task at essentially any time; typically the quality of the response improves as the time increases. Here, we c...
Barnabás Póczos, Csaba Szepesv&aacut...