172 search results - page 14 / 35 » Learning Generative Models of Similarity Matrices |
121
Voted
NIPS
2007
15 years 3 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...
110
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SDM
2010
SIAM
15 years 3 months ago
2010
SIAM
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
160
Voted
VLSID
2010
IEEE
15 years 7 days ago
2010
IEEE
Directed test generation is important for the functional verification of complex system-on-chip designs. SAT based bounded model checking is promising for counterexample generatio...
129
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EXACT
2007
15 years 4 months ago
2007
In order to assist a power plant operator to face unusual situations, we have developed an intelligent assistant that explains the suggested commands generated by an MDP-based pla...
139
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MM
2009
ACM
15 years 9 months ago
2009
ACM
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...