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ENTCS
2010
133views more  ENTCS 2010»
15 years 7 months ago
Towards Measurable Types for Dynamical Process Modeling Languages
Process modeling languages such as "Dynamical Grammars" are highly expressive in the processes they model using stochastic and deterministic dynamical systems, and can b...
Eric Mjolsness
CCE
2006
15 years 7 months ago
Parameter estimation in continuous-time dynamic models using principal differential analysis
Principal differential analysis (PDA) is an alternative parameter estimation technique for differential equation models in which basis functions (e.g., B-splines) are fitted to dy...
A. A. Poyton, M. S. Varziri, K. B. McAuley, P. J. ...
IJCV
2007
163views more  IJCV 2007»
15 years 6 months ago
Semantic Modeling of Natural Scenes for Content-Based Image Retrieval
In this paper, we present a novel image representation that renders it possible to access natural scenes by local semantic description. Our work is motivated by the continuing effo...
Julia Vogel, Bernt Schiele
ENTCS
2002
114views more  ENTCS 2002»
15 years 6 months ago
Adjunction Models For Call-By-Push-Value With Stacks
Call-by-push-value is a "semantic machine code", providing a set of simple primitives from which both the call-by-value and call-by-name paradigms are built. We present i...
Paul Blain Levy
IJAR
2010
97views more  IJAR 2010»
15 years 5 months ago
Parameter estimation and model selection for mixtures of truncated exponentials
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu...