We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
Comparative evaluation of visualization and experiment results is a critical step in computational steering. In this paper, we present a study of image comparison metrics for quan...
Web-services are broadly considered as an effective means to achieve interoperability between heterogeneous parties of a business process and offer an open platform for developing...
: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...
Web services, service-oriented, and service-discovery architectures help developers solve complex business cases, reduce costs, risks, and time-to-market. The task of developers i...