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NIPS
1992
14 years 11 months ago
Hidden Markov Model} Induction by Bayesian Model Merging
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...
Andreas Stolcke, Stephen M. Omohundro
WEBDB
2005
Springer
129views Database» more  WEBDB 2005»
15 years 3 months ago
Searching for Hidden-Web Databases
Recently, there has been increased interest in the retrieval and integration of hidden Web data with a view to leverage high-quality information available in online databases. Alt...
Luciano Barbosa, Juliana Freire
ICC
2009
IEEE
123views Communications» more  ICC 2009»
15 years 4 months ago
Combining Hidden Markov Models for Improved Anomaly Detection
—In host-based intrusion detection systems (HIDS), anomaly detection involves monitoring for significant deviations from normal system behavior. Hidden Markov Models (HMMs) have...
Wael Khreich, Eric Granger, Robert Sabourin, Ali M...
SEMCO
2009
IEEE
15 years 4 months ago
An Algebraic Language for Semantic Data Integration on the Hidden Web
Semantic integration in the hidden Web is an emerging area of research where traditional assumptions do not always hold. Frequent changes, conflicts and the sheer size of the hid...
Shazzad Hosain, Hasan M. Jamil
ICPR
2006
IEEE
15 years 10 months ago
Protein Fold Recognition using a Structural Hidden Markov Model
Protein fold recognition has been the focus of computational biologists for many years. In order to map a protein primary structure to its correct 3D fold, we introduce in this pa...
Djamel Bouchaffra, Jun Tan