Digital signatures are one of the most important applications of microprocessor smart cards. The most widely used algorithms for digital signatures, RSA and ECDSA, depend on finite...
Sebastian Rohde, Thomas Eisenbarth, Erik Dahmen, J...
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Abstract. This paper shows that we can take advantage of information about the probabilities of the occurrences of events, when this information is available, to refine the classic...
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
Background: The problem of protein structure prediction consists of predicting the functional or native structure of a protein given its linear sequence of amino acids. This probl...