There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Short search engine queries do not provide contextual information, making it difficult for traditional search engines to understand what users are really requesting. One approach ...
Ajith Kodakateri Pudhiyaveetil, Susan Gauch, Hiep ...
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...
Background: Kernel-based classification and regression methods have been successfully applied to modelling a wide variety of biological data. The Kernel-based Orthogonal Projectio...
This paper addresses the problem of categorizing terms or lexical entities into a predefined set of semantic domains exploiting the knowledge available on-line in the Web. The prop...
Leonardo Rigutini, Ernesto Di Iorio, Marco Ernande...