1859 search results - page 282 / 372 » Using Problems to Learn Service-Oriented Computing |
183
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CORR
2011
Springer
14 years 11 months ago
2011
Springer
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
140
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GECCO
2007
Springer
15 years 11 months ago
2007
Springer
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
143
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KDD
2009
ACM
15 years 11 months ago
2009
ACM
Human computation is an effective way to channel human effort spent playing games to solving computational problems that are easy for humans but difficult for computers to autom...
141
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ICCV
2009
IEEE
16 years 9 months ago
2009
IEEE
A key ingredient in the design of visual object classification
systems is the identification of relevant class specific
aspects while being robust to intra-class variations. Whil...
142
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...