In the context of the analysis of measured data, one is often faced with the task to differentiate data numerically. Typically, this occurs when measured data are concerned or dat...
Data prefetching technique is widely used to bridge the growing performance gap between processor and memory. Numerous prefetching techniques have been proposed to exploit data pa...
— The present paper introduces a replication method that is meant to balance the storage load of peers in unstructured peer-to-peer (P2P) networks for file sharing and to provid...
Background: Experimentally determined protein structures may contain errors and require validation. Conformational criteria based on the Ramachandran plot are mainly used to disti...
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...