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136
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NIPS
2007
15 years 5 months ago
2007
We show how to use unlabeled data and a deep belief net (DBN) to learn a good covariance kernel for a Gaussian process. We first learn a deep generative model of the unlabeled da...
118
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NIPS
2007
15 years 5 months ago
2007
Incorporating invariances into a learning algorithm is a common problem in machine learning. We provide a convex formulation which can deal with arbitrary loss functions and arbit...
111
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OWLED
2007
15 years 5 months ago
2007
This article describes the modeling of clinical examinations in oral medicine using OWL. Based on experiences from our previous work and knowledge model, requirements for an ontolo...
133
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OWLED
2007
15 years 5 months ago
2007
The use of background knowledge and the adoption of Horn clausal logic as a knowledge representation and reasoning framework are the distinguishing features of Inductive Logic Prog...
118
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PDPTA
2007
15 years 5 months ago
2007
- In this paper, we study the algorithm design aspects of three newly developed spin-wave architectures. The architectures are capable of simultaneously transmitting multiple signa...