Machine learning methods that can use additional knowledge in their inference process are central to the development of integrative bioinformatics. Inclusion of background knowled...
Minca Mramor, Marko Toplak, Gregor Leban, Tomaz Cu...
Research was conducted in the area of sustainable knowledge extraction from e-business systems and technologies. Differentiating approaches from three notable authors in the field...
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
Successive, formal refinement is a new approach for specification of embedded systems using a general-purpose programming language. Systems are formally modeled as Abstractable Sy...
James Shin Young, Josh MacDonald, Michael Shilman,...
Abstract. Most of the approaches dedicated to fiber tracking from diffusionweighted MR data rely on a tensor model. However, the tensor model can only resolve a single fiber orient...