Configuration and change request management systems offer valuable information for the assessment of process quality characteristics. The definition of appropriate metrics that ad...
Holger Schackmann, Martin Jansen, Christoph Lischk...
Domain adaptation refers to the process of adapting an extraction model trained in one domain to another related domain with only unlabeled data. We present a brief survey of exis...
The main result is the development, and delay comparison based on Logical Effort, of a number of high speed circuits for common arithmetic and related operations using threshold l...
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...