Interactive applications like Problem Solving Environments require on demand access to Web Services, where the services are autonomously discovered, composed, selected and invocate...
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
: A PSE toolkit is a group of technologies within a software architecture through which multiple PSEs can be built for different application domains. The effective use of a PSE too...
Background: The SH3 domain family is one of the most representative and widely studied cases of so-called Peptide Recognition Modules (PRM). The polyproline II motif PxxP that gen...
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...