922 search results - page 107 / 185 » Learning Gaussian Process Models from Uncertain Data |
119
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NIPS
2008
15 years 4 months ago
2008
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
133
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ICASSP
2010
IEEE
15 years 2 months ago
2010
IEEE
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
139
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KDD
1999
ACM
15 years 7 months ago
1999
ACM
Code synthesis is routinely used in industry to generate GUIs, form lling applications, and database support code and is even used with COBOL. In this paper we consider the questi...
115
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ML
2008
ACM
15 years 2 months ago
2008
ACM
Let f be a function on Rd that is monotonic in every variable. There are 2d possible assignments to the directions of monotonicity (two per variable). We provide sufficient condit...
112
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ICDM
2008
IEEE
15 years 9 months ago
2008
IEEE
We introduce dynamic correlated topic models (DCTM) for analyzing discrete data over time. This model is inspired by the hierarchical Gaussian process latent variable models (GP-L...