In this work, we investigate the security of anonymous wireless sensor networks. To lay down the foundations of a formal framework, we propose a new model for analyzing and evalua...
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
Determining the similarity of short text snippets, such as search queries, works poorly with traditional document similarity measures (e.g., cosine), since there are often few, if...
Many Ubicomp appliances require the recognition of context. Existing context systems do not provide information about the quality of the context recognizied to the appliance at ru...
Martin Berchtold, Christian Decker, Till Riedel, T...
— To enhance the generalization capacity of a distribution learning method, we propose to use a fuzzy Bayesian framework based on Bayes rules. The precision of the learning resul...