Abstract. In order to verify and test the performance of new packing algorithms relative to existing algorithms, test problems are needed. The scope of published test instances for...
Abstract Within the context of solving Mixed-Integer Linear Programs by a Branch-andCut algorithm, we propose a new strategy for branching. Computational experiments show that, on ...
Traditional classification involves building a classifier using labeled training examples from a set of predefined classes and then applying the classifier to classify test instan...
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 ...
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...