206 search results - page 38 / 42 » Predicting incomplete gene microarray data with the use of s... |
CEC
2010
IEEE
13 years 5 months ago
2010
IEEE
The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases availab...
ISDA
2009
IEEE
14 years 2 months ago
2009
IEEE
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
AAAI
2007
13 years 9 months ago
2007
Often remote investigations use autonomous agents to observe an environment on behalf of absent scientists. Predictive exploration improves these systems’ efficiency with onboa...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
MCS
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Hierarchical classification problems gained increasing attention within the machine learning community, and several methods for hierarchically structured taxonomies have...