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IFM
2007
Springer
15 years 5 months ago
Qualitative Probabilistic Modelling in Event-B
Abstract. Event-B is a notation and method for discrete systems modelling by refinement. We introduce a small but very useful construction: qualitative probabilistic choice. It ex...
Stefan Hallerstede, Thai Son Hoang
AAAI
2011
13 years 11 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
CMPB
2010
97views more  CMPB 2010»
14 years 9 months ago
A ligand predication tool based on modeling and reasoning with imprecise probabilistic knowledge
Ligand prediction has been driven by a fundamental desire to understand more about how biomolecules recognize their ligands and by the commercial imperative to develop new drugs. ...
Weiru Liu, Anbu Yue, David J. Timson
CVPR
2003
IEEE
16 years 1 months ago
Probabilistic Spatial Context Models for Scene Content Understanding
Scene content understanding facilitates a large number of applications, ranging from content-based image retrieval to other multimedia applications. Material detection refers to t...
Amit Singhal, Jiebo Luo, Weiyu Zhu
MICCAI
2009
Springer
16 years 6 days ago
A Generic Probabilistic Active Shape Model for Organ Segmentation
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
Andreas Wimmer, Grzegorz Soza, Joachim Hornegger