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» Using Probabilistic Information in Data Integration
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ESWS
2008
Springer
13 years 10 months ago
A Semantic Web Middleware for Virtual Data Integration on the Web
In this contribution a system is presented, which provides access to distributed data sources using Semantic Web technology. While it was primarily designed for data sharing and sc...
Andreas Langegger, Wolfram Wöß, Martin ...
IDA
2003
Springer
14 years 2 months ago
Very Predictive Ngrams for Space-Limited Probabilistic Models
In sequential prediction tasks, one repeatedly tries to predict the next element in a sequence. A classical way to solve these problems is to fit an order-n Markov model to the da...
Paul R. Cohen, Charles A. Sutton
BMCBI
2006
112views more  BMCBI 2006»
13 years 9 months ago
Algorithms for incorporating prior topological information in HMMs: application to transmembrane proteins
Background: Hidden Markov Models (HMMs) have been extensively used in computational molecular biology, for modelling protein and nucleic acid sequences. In many applications, such...
Pantelis G. Bagos, Theodore D. Liakopoulos, Stavro...
CCS
2008
ACM
13 years 11 months ago
A class of probabilistic models for role engineering
Role Engineering is a security-critical task for systems using role-based access control (RBAC). Different role-mining approaches have been proposed that attempt to automatically ...
Mario Frank, David A. Basin, Joachim M. Buhmann
NIPS
2008
13 years 10 months ago
Integrating Locally Learned Causal Structures with Overlapping Variables
In many domains, data are distributed among datasets that share only some variables; other recorded variables may occur in only one dataset. While there are asymptotically correct...
Robert E. Tillman, David Danks, Clark Glymour