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NIPS
2004
15 years 5 months ago
Instance-Specific Bayesian Model Averaging for Classification
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
Shyam Visweswaran, Gregory F. Cooper
IIS
2000
15 years 5 months ago
Extension of the HEPAR II Model to Multiple-Disorder Diagnosis
The Hepar II system is based on a Bayesian network model of a subset of the domain of hepatology in which the structure of the network is elicited from an expert diagnostician and ...
Agnieszka Onisko, Marek Druzdezel, Hanna Wasyluk
131
Voted
AIME
2005
Springer
15 years 9 months ago
Ontology-Driven Extraction of Linguistic Patterns for Modelling Clinical Guidelines
Evidence-based clinical guidelines require frequent updates due to research and technology advances. The quality of guideline updates can be improved if the knowledge underlying th...
Radu Serban, Annette ten Teije, Frank van Harmelen...
DAGM
2006
Springer
15 years 7 months ago
A Probabilistic Multi-phase Model for Variational Image Segmentation
Abstract. Recently, the Phase Field Method has shown to be a powerful tool for variational image segmentation. In this paper, we present a novel multi-phase model for probability b...
Thomas Pock, Horst Bischof
BMVC
1998
15 years 5 months ago
Non-Rigid Image Registration Using a Parameter-Free Elastic Model
The paper presents a new parameter-free approach to non-rigid image registration, where displacements, obtained through a mapping of boundary structures in the source and target i...
Wladimir Peckar, Christoph Schnörr, Karl Rohr...