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» Learning and Inference with Constraints
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ARTMED
2006
70views more  ARTMED 2006»
13 years 10 months ago
Towards a comprehensive treatment of repetitions, periodicity and temporal constraints in clinical guidelines
Temporal constraints play a fundamental role in clinical guidelines. For example, temporal indeterminacy, constraints about duration, delays between actions, and periodic repetiti...
Luca Anselma, Paolo Terenziani, Stefania Montani, ...
CVPR
2007
IEEE
15 years 8 days ago
Hybrid learning of large jigsaws
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
Julia A. Lasserre, Anitha Kannan, John M. Winn
JMLR
2010
82views more  JMLR 2010»
13 years 5 months ago
Negative Results for Active Learning with Convex Losses
We study the problem of active learning with convex loss functions. We prove that even under bounded noise constraints, the minimax rates for proper active learning are often no b...
Steve Hanneke, Liu Yang
ICML
2009
IEEE
14 years 11 months ago
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...
EAAI
2008
101views more  EAAI 2008»
13 years 10 months ago
A global constraint for total weighted completion time for cumulative resources
The criterion of total weighted completion time occurs as a sub-problem of combinatorial optimization problems in such diverse areas as scheduling, container loading and storage a...
András Kovács, J. Christopher Beck