In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Often network components work correctly, yet end-to-end services don’t. This happens if configuration parameters of components are set to incorrect values. Configuration is a fu...
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
Use cases are a popular method for capturing and structuring software requirements. The informality of use cases is both a blessing and a curse. It enables easy application and lea...
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...