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...
Zhong et al. formulated the problem of disclosing credentials (associated with privacy) for building trust in an open environment like Internet. Thus, one form of privacy-trust pr...
Background: Gene expression microarray and other multiplex data hold promise for addressing the challenges of cellular complexity, refined diagnoses and the discovery of well-targ...
Abdallah Sayyed-Ahmad, Kagan Tuncay, Peter J. Orto...
Motivated by the hypothesis that the retrieval performance of a weighting model is independent of the language in which queries and collection are expressed, we compared the retrie...
This paper presents an H-infinity filtering approach to optimize a fuzzy control model used to determine behaviorconsistent (BC) information-based control strategies to improve the...