2878 search results - page 197 / 576 » Learning the Common Structure of Data |
157
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SOFTWARE
2002
15 years 3 months ago
2002
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to impreci...
170
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CVPR
2011
IEEE
15 years 6 days ago
2011
IEEE
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
151
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SIGMOD
2012
ACM
13 years 6 months ago
2012
ACM
The success of data-driven solutions to difficult problems, along with the dropping costs of storing and processing massive amounts of data, has led to growing interest in largesc...
156
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IJCAI
2007
15 years 5 months ago
2007
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
143
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JMLR
2006
15 years 4 months ago
2006
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...