The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
Though synchronous dataflow (SDF) graph has been a successful input specification language for digital signal processing (DSP) applications, lack of support for global states makes...
— Model-based approaches, especially based on directed graphs (DG), are becoming popular for mutation testing as they enable definition of simple, nevertheless powerful, mutation...
Standard approaches to evaluating and comparing information retrieval systems compute simple averages of performance statistics across individual topics to measure the overall sys...
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...