Devising a scheme for efficient and scalable querying of Resource Description Framework (RDF) data has been an active area of current research. However, most approaches define new...
Eugene Inseok Chong, Souripriya Das, George Eadon,...
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
The premise of the work presented in this chapter is that much of the existing work on the generation of referring expressions has focused on aspects of the problem that appear to ...
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
We propose a framework to construct web-oriented user interfaces in a high-level way by exploiting declarative programming techniques. Such user interfaces are intended to manipul...