2299 search results - page 169 / 460 » Inference and Learning in Planning |
223
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IEEECIT
2010
IEEE
15 years 4 months ago
2010
IEEE
Abstract--We explore the idea of applying machine learning techniques to automatically infer risk-adaptive policies to reconfigure a network security architecture when the context ...
203
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JMLR
2010
15 years 1 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
213
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CORR
2012
Springer
14 years 2 months ago
2012
Springer
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
212
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
In this paper, we raise important issues on scalability and the required degree of supervision of existing Mahalanobis metric learning methods. Often rather tedious optimization p...
181
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PERCOM
2004
ACM
16 years 6 months ago
2004
ACM
A course on pervasive computing should be structured around key functions throughout a systems development process to cover common underlying concerns throughout science and engin...