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AUTOMATICA
2004
115views more  AUTOMATICA 2004»
15 years 7 months ago
An adaptive algorithm for control of combustion instability
We propose an adaptive algorithm for control of combustion instability suitable for reduction of acoustic pressure oscillations in gas turbine engines, and main burners and augmen...
Andrzej Banaszuk, Kartik B. Ariyur, Miroslav Krsti...
JAIR
1998
198views more  JAIR 1998»
15 years 6 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
JMLR
2002
138views more  JMLR 2002»
15 years 6 months ago
Learning Probabilistic Models of Link Structure
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
ML
2002
ACM
178views Machine Learning» more  ML 2002»
15 years 6 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
MONET
2002
143views more  MONET 2002»
15 years 6 months ago
P-MIP: Paging Extensions for Mobile IP
As the number of Mobile IP users grows, so will the signalling overhead associated with Internet mobility management in the core IP network. This presents a significant challenge t...
Xiaowei Zhang, Javier Gomez Castellanos, Andrew T....