662 search results - page 126 / 133 » Making inferences with small numbers of training sets |
CIKM
2009
Springer
14 years 1 months ago
2009
Springer
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
FLAIRS
2008
13 years 11 months ago
2008
In machine learning, decision trees are employed extensively in solving classification problems. In order to design a decision tree classifier two main phases are employed. The fi...
BMCBI
2010
13 years 9 months ago
2010
Background: Sequencing of environmental DNA (often called metagenomics) has shown tremendous potential to uncover the vast number of unknown microbes that cannot be cultured and s...
BMCBI
2006
13 years 8 months ago
2006
The protein-protein interaction networks of even well-studied model organisms are sketchy at best, highlighting the continued need for computational methods to help direct experim...
AI
2002
Springer
13 years 8 months ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...