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» A general probabilistic model of the PCR process
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NIPS
2001
13 years 10 months ago
Bayesian time series classification
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
Peter Sykacek, Stephen J. Roberts
DAS
2010
Springer
13 years 6 months ago
Information extraction by finding repeated structure
Repetition of layout structure is prevalent in document images. In document design, such repetition conveys the underlying logical and functional structure of the data. For exampl...
Evgeniy Bart, Prateek Sarkar
HRI
2007
ACM
14 years 20 days ago
Efficient model learning for dialog management
Intelligent planning algorithms such as the Partially Observable Markov Decision Process (POMDP) have succeeded in dialog management applications [10, 11, 12] because of their rob...
Finale Doshi, Nicholas Roy
DGO
2008
135views Education» more  DGO 2008»
13 years 10 months ago
Florida Public Hurricane Loss Model (FPHLM): research experience in system integration
The Florida Public Hurricane Loss Model (FPHLM) developed in the State of Florida offers an open, public and effective tool for the government to regulate the insurance ratemaking...
Shu-Ching Chen, Min Chen, Na Zhao, Shahid Hamid, K...
ATAL
2010
Springer
13 years 10 months ago
History-dependent graphical multiagent models
A dynamic model of a multiagent system defines a probability distribution over possible system behaviors over time. Alternative representations for such models present tradeoffs i...
Quang Duong, Michael P. Wellman, Satinder P. Singh...