Probabilistic matrix factorization (PMF) is a powerful method for modeling data associated with pairwise relationships, finding use in collaborative filtering, computational biolo...
ct Computer generated academic papers have been used to expose a lack of thorough human review at several computer science conferences. We assess the problem of classifying such do...
Keyword search has traditionally focussed on retrieving documents in ranked order, given simple keyword queries. Similarly, work on keyword queries on structured data has focussed...
The most often used approaches to obtaining and using residuals in applied work with time series models, are unified and documented with both partially-known and new features. Spe...
Non-negative Matrix Factorization (NMF) and Probabilistic Latent Semantic Indexing (PLSI) have been successfully applied to document clustering recently. In this paper, we show th...