Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
Denial of service (DoS) attacks are arguably one of the most cumbersome problems in the Internet. This paper presents a distributed information system (over a set of completely co...
Matthias Baumgart, Christian Scheideler, Stefan Sc...
In this paper we argue that developing information extraction (IE) programs using Datalog with embedded procedural extraction predicates is a good way to proceed. First, compared ...
Warren Shen, AnHai Doan, Jeffrey F. Naughton, Ragh...
Abstract. We define and study formal privacy guarantees for information integration systems, where sources are related to a public schema by mappings given by source-to-target dep...
Content-based image retrieval (CBIR) is currently limited because of the lack of representational power of the low-level image features, which fail to properly represent the actual...