In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
In this paper, we investigate the core-switch mapping(CSM) problem that optimally maps cores onto an NoC architecture such that either the energy consumption or the congestion is ...
Abstract. Practical pattern classification and knowledge discovery problems require selecting a useful subset of features from a much larger set to represent the patterns to be cl...
This paper presents DisAC-9, the first optimal distributed algorithm performing the arc-consistency of a constraint network. Our method is optimal according to the number of messa...
Technology mapping can be viewed as the optimization problem of finding a minimum cost cover of the given Boolean network by choosing from given library of logic cells. The core of...