Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
Traditional Naive Bayes Classifier performs miserably on web-scale taxonomies. In this paper, we investigate the reasons behind such bad performance. We discover that the low perf...
Retiming is a widely investigated technique for performance optimization. It performs powerful modifications on a circuit netlist. However, often it is not clear, whether the pred...
Enterprise systems implementations are often accompanied by changes in the business processes of the organizations in which they take place. However, not all the changes are desira...
This paper introduces a modified version of the well known global optimization technique named line search method. The modifications refer to the way in which the direction and th...