825 search results - page 81 / 165 » Learning Parts-Based Representations of Data |
MICAI
2009
Springer
15 years 6 months ago
2009
Springer
Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
127
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JMLR
2006
14 years 12 months ago
2006
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
138
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ICASSP
2008
IEEE
15 years 6 months ago
2008
IEEE
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...
101
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SASO
2008
IEEE
15 years 6 months ago
2008
IEEE
Truly ubiquitous computing poses new and significant challenges. A huge number of heterogeneous devices will interact to perform complex distributed tasks. One of the key aspects...
FBIT
2007
IEEE
15 years 6 months ago
2007
IEEE
The tree representation as a model for organismal evolution has been in use since before Darwin. However, with the recent unprecedented access to biomolecular data it has been dis...