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NCI
2004
141views Neural Networks» more  NCI 2004»
15 years 8 months ago
Estimating the error at given test input points for linear regression
In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
Masashi Sugiyama
DMDW
2000
151views Management» more  DMDW 2000»
15 years 8 months ago
Automated dimensionality reduction of data warehouses
A data warehouse is designed to consolidate and maintain all attributes that are relevant for the analysis processes. Due to the rapid increase in the size of the modern operation...
Mark Last, Oded Maimon
IJON
2006
132views more  IJON 2006»
15 years 6 months ago
A binary neural decision table classifier
In this paper, we introduce a neural network -based decision table algorithm. We focus on the implementation details of the decision table algorithm when it is constructed using t...
Victoria J. Hodge, Simon O'Keefe, Jim Austin
JPDC
2006
187views more  JPDC 2006»
15 years 6 months ago
On constructing k-connected k-dominating set in wireless ad hoc and sensor networks
An important problem in wireless ad hoc and sensor networks is to select a few nodes to form a virtual backbone that supports routing and other tasks such as area monitoring. Prev...
Fei Dai, Jie Wu
TEC
2008
146views more  TEC 2008»
15 years 6 months ago
An Evolutionary Algorithm Approach to Optimal Ensemble Classifiers for DNA Microarray Data Analysis
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
Kyung-Joong Kim, Sung-Bae Cho