66 search results - page 2 / 14 » Prediction of glycosylation sites using random forests |
JCIT
2010
12 years 11 months ago
2010
With the development of telecom business, customer churn prediction becomes more and more important. An outstanding issue in customer churn prediction is high dimensional problem....
BMCBI
2010
13 years 5 months ago
2010
Background: Random forest, an ensemble based supervised machine learning algorithm, is used to predict the SCOP structural classification for a target structure, based on the simi...
ICIP
2009
IEEE
14 years 6 months ago
2009
IEEE
Predicting the age of a person through face image analysis holds the potential to drive an extensive array of real world applications from human computer interaction and security ...
ICMLA
2008
13 years 6 months ago
2008
When using the output of classifiers to calculate the expected utility of different alternatives in decision situations, the correctness of predicted class probabilities may be of...
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...