In this paper, the minimization of incompletely specified multi-valued functions using functional decomposition is discussed. From the aspect of machine learning, learning sample...
Craig M. Files, Rolf Drechsler, Marek A. Perkowski
Many recent advances in complex domains such as Natural Language Processing (NLP) have taken a discriminative approach in conjunction with the global application of structural and...
Large and complex software systems require expressive notations for representing their software architecture. In this context Architecture Description Languages (ADLs) can be used...
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Abstract. A positive temporal template (or a positive temporal constraint language) is a relational structure whose relations can be defined over countable dense linear order witho...