Abstract. In this paper, we describe the features of the Timed Abstract State Machine toolset. The toolset implements the features of the Timed Abstract State Machine (TASM) langua...
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
UML 2.0 provides a rich set of diagrams for systems documentation and specification. Many efforts have been undertaken to employ different aspects of UML for multiple domains, mai...
In this paper we consider a model of different sorting of receptors for Fibroblast Growth Factor via the endocytotic pathway. In order to accurately model the relocation in the di...
Steffen van Bakel, Ikra Khan, Maria Grazia Vigliot...