We study the problem of planning the production of new and recovering defective items of the same product manufactured on the same facility. Items of the product are produced in b...
Karl Inderfurth, Adam Janiak, Mikhail Y. Kovalyov,...
The decision tree is one of the most fundamental ing abstractions. A commonly used type of decision tree is the alphabetic binary tree, which uses (without loss of generality) &quo...
Background: Molecular biologists need sophisticated analytical tools which often demand extensive computational resources. While finding, installing, and using these tools can be ...
Background: Sequence-derived structural and physicochemical descriptors have frequently been used in machine learning prediction of protein functional families, thus there is a ne...
Serene A. K. Ong, Hong Huang Lin, Yu Zong Chen, Ze...
Tensors are nowadays a common source of geometric information. In this paper, we propose to endow the tensor space with an affine-invariant Riemannian metric. We demonstrate that ...