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IJCAI
2003
13 years 8 months ago
A General Model for Online Probabilistic Plan Recognition
We present a new general framework for online istic plan recognition called the Abstract Hidden Markov Memory Model (AHMEM). The l is an extension of the existing Abstract Hidden ...
Hung Hai Bui
STAIRS
2008
175views Education» more  STAIRS 2008»
13 years 8 months ago
Learning Process Behavior with EDY: an Experimental Analysis
This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
Ugo Galassi
UAI
2001
13 years 8 months ago
Learning the Dimensionality of Hidden Variables
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. Dete...
Gal Elidan, Nir Friedman
LCN
1998
IEEE
13 years 11 months ago
Effect of Hidden Terminals on the Performance of IEEE 802.11 MAC Protocol
The hidden terminal problem is unique to wireless networks and as of now, there is very limited understanding about it's effects on network performance. Results are presented...
Sumit Khurana, Anurag Kahol, Anura P. Jayasumana
IICAI
2007
13 years 8 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...