Abstract. This paper explores potential improvements to Zhang’s personalized trust approach for e-commerce, in particular examining means of optimizing the number of advisors tha...
Abstract. In recent years much research has been conducted on building Thesauri and enhancing them with new terms and relationships. I propose to build and evaluate a system for au...
Abstract. Extractive text summarization is the process of selecting relevant sentences from a collection of documents, perhaps only a single document, and arranging such sentences ...
Area coverage is one of the emerging problems in multi-robot coordination. In this task a team of robots is cooperatively trying to observe or sweep an entire area, possibly conta...
Many classification techniques used for identifying spam emails, treat spam filtering as a binary classification problem. That is, the incoming email is either spam or non-spam....
Abstract. In this paper we give a systematic analysis of the relationship between imbalance and overlap as factors influencing classifier performance. We demonstrate that these t...
This paper presents a supervised machine learning approach for summarizing legal documents. A commercial system for the analysis and summarization of legal documents provided us wi...