In this article, we present an idea for solving deterministic partially observable markov decision processes (POMDPs) based on a history space containing sequences of past observat...
The testing and formal verification of black box software components is a challenging domain. The problem is even harder when specifications of these components are not available...
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
Since the approval of IEEE LOM Draft Standard and the advance of network-driven learning technology, a large number of resource database constructors, content developers and learn...
Abstract. Classical learning algorithms from the fields of artificial neural networks and machine learning, typically, do not take any costs into account or allow only costs depe...