3694 search results - page 371 / 739 » Stochastic complexity in learning |
196
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BVAI
2007
Springer
16 years 27 days ago
2007
Springer
We present a hierarchical system for object recognition that models neural mechanisms of visual processing identified in the mammalian ventral stream. The system is composed of ne...
280
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GECCO
2007
Springer
16 years 26 days ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
171
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GECCO
2007
Springer
16 years 26 days ago
2007
Springer
Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowledge of their own capabilities. Over time, they develop a belief of their own sk...
213
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IEEECIT
2006
IEEE
16 years 22 days ago
2006
IEEE
Efficient and robust routing is central to wireless sensor networks (WSN) that feature energy-constrained nodes, unreliable links, and frequent topology change. While most existi...
155
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FOCS
2005
IEEE
16 years 10 days ago
2005
IEEE
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a wide variety of r...