Background: Text mining has become a useful tool for biologists trying to understand the genetics of diseases. In particular, it can help identify the most interesting candidate g...
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...
This review paper presents an overview of the current state of the art in Problem Solving Environments (PSE). PSE provides integrated human-friendly innovative computational servi...
It is well known that different types of social ties have essentially different influence between people. However, users in online social networks rarely categorize their contact...