Identifying co-varying causal elements in very high dimensional feature space with internal structures, e.g., a space with as many as millions of linearly ordered features, as one...
Supervised estimation methods are widely seen as being superior to semi and fully unsupervised methods. However, supervised methods crucially rely upon training sets that need to ...
It is well known that certain environmental conditions, such as a spatially structured population, can promote the evolution of cooperative traits. However, such conditions are usu...
Simon T. Powers, Alexandra S. Penn, Richard A. Wat...
Though new technological trends and paradigms arise for developing complex software systems, systematic reuse continues to be an elusive goal. In this context, the adoption of Comm...
Abstract--There is an ongoing debate on how to model diffusivity in fiber crossings. We propose an optimization framework for the selection of a dual tensor model and the set of di...
Matthan W. A. Caan, Ganesh Khedoe, Dirk H. J. Poot...