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» Improving the application of process models
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ICASSP
2010
IEEE
15 years 4 months ago
Source-domain adaptive filtering for MIMO systems with application to acoustic echo cancellation
Combining the channels of a multiple input/multiple output (MIMO) system into suitably chosen modes by a domain transformation offers great improvements of adaptive filtering alg...
Karim Helwani, Herbert Buchner, Sascha Spors
ESSMAC
2003
Springer
15 years 9 months ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith
SEMCO
2009
IEEE
15 years 10 months ago
Ontology Extraction from Existing Educational Content to Improve Personalized e-Learning Experiences
Nowadays, the use of domain ontologies in e-Learning applications is rapidly increasing due to the important role they play in knowledge representation, sharing of didactical mate...
Nicola Capuano, Luca Dell'Angelo, Francesco Orciuo...
WETICE
1998
IEEE
15 years 8 months ago
A Framework for Adaptive Process Modeling and Execution (FAME)
This paper describes the architecture and concept of operation of a Framework for Adaptive Process Modeling and Execution (FAME). The research addresses the absence of robust meth...
Perakath C. Benjamin, Madhav Erraguntla, Richard J...
SIGMOD
2010
ACM
149views Database» more  SIGMOD 2010»
14 years 10 months ago
On models and query languages for probabilistic processes
Probabilistic processes appear naturally in various contexts, with applications to Business Processes, XML data management and more. Many models for specifying and querying such p...
Daniel Deutch, Tova Milo