3607 search results - page 343 / 722 » Learning with structured sparsity |
195
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CIARP
2006
Springer
15 years 8 months ago
2006
Springer
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
196
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AAAI
2010
15 years 8 months ago
2010
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
170
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LREC
2010
15 years 8 months ago
2010
Today's natural language processing systems are growing more complex with the need to incorporate a wider range of language resources and more sophisticated statistical metho...
204
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UAI
2000
15 years 8 months ago
2000
Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
184
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GEOINFORMATICA
1998
15 years 6 months ago
1998
The nature of map generalization may be non-uniform along the length of an individual line, requiring the application of methods that adapt to the local geometry and the geographi...