295 search results - page 46 / 59 » Statistical Methods for Construction of Neural Networks |
ISNN
2007
Springer
14 years 2 months ago
2007
Springer
In this paper, we present two novel memetic algorithms (MAs) for gene selection. Both are synergies of Genetic Algorithm (wrapper methods) and local search methods (filter methods...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
LREC
2008
13 years 10 months ago
2008
Many of the Japanese ideographs (Chinese characters) have a few meanings. Such ambiguities should be identified by using their contextual information. For example, we have an ideo...
ISNN
2011
Springer
12 years 11 months ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
JMLR
2012
11 years 11 months ago
2012
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 ...