nt programs, programming abstractions for data parallel programs, software model checking for confidentiality, electronic voting security, synthesis of interface specons for Java ...
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
This paper describes the design and developmentof an expert system for tourist information center. The expert system was built to recommend a suitable travel schedule that satisfi...
Most complexity measures for concurrent algorithms for asynchronous shared-memory architectures focus on process steps and memory consumption. In practice, however, performance of ...
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...