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ICML
2000
IEEE
14 years 9 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
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...
IJNSEC
2006
71views more  IJNSEC 2006»
13 years 9 months ago
Fundamental Limits on a Model of Privacy-Trust Tradeoff: Information Theoretic Approach
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...
Rama Murthy Garimella
BMCBI
2007
169views more  BMCBI 2007»
13 years 9 months ago
Transcriptional regulatory network refinement and quantification through kinetic modeling, gene expression microarray data and i
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...
CLEF
2003
Springer
14 years 2 months ago
Comparing Weighting Models for Monolingual Information Retrieval
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...
Gianni Amati, Claudio Carpineto, Giovanni Romano
TITS
2008
133views more  TITS 2008»
13 years 9 months ago
Fuzzy Control Model Optimization for Behavior-Consistent Traffic Routing Under Information Provision
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...
Alexander Paz, Srinivas Peeta