Probabilistic matrix factorization (PMF) is a powerful method for modeling data associated with pairwise relationships, finding use in collaborative filtering, computational biolo...
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
Web Services are considered as a dominant paradigm for constructing and composing distributed business application and enabling enterprise-wide interoperability. A peer to peer arc...
The long-term preservation of digitally signed documents may be approached and analyzed from various perspectives, i.e. future data readability, signature validity, storage media ...