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» Modeling interleaved hidden processes
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ICML
2008
IEEE
14 years 5 months ago
Modeling interleaved hidden processes
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
Niels Landwehr
IICAI
2007
13 years 6 months ago
Modeling Temporal Behavior via Structured Hidden Markov Models: an Application to Keystroking Dynamics
Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
Ugo Galassi, Attilio Giordana, Charbel Julien, Lor...
AIIA
2005
Springer
13 years 10 months ago
Experimental Evaluation of Hierarchical Hidden Markov Models
Building profiles for processes and for interactive users is a important task in intrusion detection. This paper presents the results obtained with a Hierarchical Hidden Markov Mo...
Attilio Giordana, Ugo Galassi, Lorenza Saitta
LICS
2000
IEEE
13 years 9 months ago
Models for Name-Passing Processes: Interleaving and Causal
We study syntax-free models for name-passing processes. For interleaving semantics, we identify the indexing structure required of an early labelled transition system to support t...
Gian Luca Cattani, Peter Sewell
NAACL
1994
13 years 5 months ago
Statistical Language Processing Using Hidden Understanding Models
This paper introduces a class of statistical mechanisms, called hidden understanding models, for natural language processing. Much of the framework for hidden understanding models...
Scott Miller, Richard M. Schwartz, Robert J. Bobro...