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HAIS
2008
Springer
15 years 7 months ago
An Evolutionary Approach for Tuning Artificial Neural Network Parameters
The widespread use of artificial neural networks and the difficult work regarding the correct specification (tuning) of parameters for a given problem are the main aspects that mot...
Leandro M. Almeida, Teresa Bernarda Ludermir
GECCO
2003
Springer
15 years 11 months ago
Quad Search and Hybrid Genetic Algorithms
A bit climber using a Gray encoding is guaranteed to converge to a global optimum in fewer than ¢¤£¦¥¨§© evaluations on unimodal 1-D functions and on multi-dimensional sph...
L. Darrell Whitley, Deon Garrett, Jean-Paul Watson
JMLR
2012
13 years 9 months ago
Random Search for Hyper-Parameter Optimization
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
James Bergstra, Yoshua Bengio
VLDB
1990
ACM
106views Database» more  VLDB 1990»
15 years 10 months ago
The Time Index: An Access Structure for Temporal Data
In this paper, we describe a new indexing technique, the time indez, for improving the performance of certain classes of temporal queries. The time index can be used to retrieve v...
Ramez Elmasri, Gene T. J. Wuu, Yeong-Joon Kim
BTW
2009
Springer
122views Database» more  BTW 2009»
15 years 7 months ago
Model-based Classification of Data with Time Series-valued Attributes
: Similarity search and data mining on time series databases has recently attracted much attention. In this paper, we represent a data object by several time series-valued attribut...
Christian Böhm, L. Läer, Claudia Plant, ...