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» Generative models for similarity-based classification
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ICML
2005
IEEE
14 years 8 months ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty
CBMS
2007
IEEE
14 years 2 months ago
Ontology Engineering to Model Clinical Pathways: Towards the Computerization and Execution of Clinical Pathways
Clinical pathways translate evidence-based recommendations into locally practicable, process-specific algorithms that reduce practice variations and optimize quality of care. Our ...
Katrina F. Hurley, Syed Sibte Raza Abidi
OOPSLA
2005
Springer
14 years 1 months ago
A delta-driven execution model for semantic computing
We describe (and demonstrate) the execution model of a computing platform where computation is both incremental and data-driven. We call such an approach delta-driven. The platfor...
Roly Perera, Jeff Foster, György Koch
IAJIT
2011
13 years 2 months ago
Multilayer model for Arabic text compression
: This article describes a multilayer model-based approach for text compression. It uses linguistic information to develop a multilayer decomposition model of the text in order to ...
Arafat Awajan
SIAMCO
2010
119views more  SIAMCO 2010»
13 years 2 months ago
Feedback Stabilization of a Fluid-Structure Model
We study a system coupling the incompressible Navier-Stokes equations in a 2D rectangular type domain with a damped Euler-Bernoulli beam equation, where the beam is a part of the u...
Jean-Pierre Raymond