4342 search results - page 354 / 869 » Improved Algorithms for Optimal Embeddings |
200
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GECCO
2009
Springer
15 years 11 months ago
2009
Springer
Dealing with imprecise information is a common characteristic in real-world problems. Specifically, when the source of the information are physical sensors, a level of noise in t...
178
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
Achieving a high quality and cost-effective tests is a major concern for software buyers and sellers. Using tools and integrating techniques to carry out low cost testing are chal...
231
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CEC
2011
IEEE
14 years 6 months ago
2011
IEEE
Abstract—In this paper, we propose a framework for employing opposition-based learning to assist evolutionary algorithms in solving discrete and combinatorial optimization proble...
232
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JMLR
2012
13 years 9 months ago
2012
We study a generalized framework for structured sparsity. It extends the well known methods of Lasso and Group Lasso by incorporating additional constraints on the variables as pa...
206
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DMIN
2010
15 years 4 months ago
2010
Recently Vapnik et al. [11, 12, 13] introduced a new learning model, called Learning Using Privileged Information (LUPI). In this model, along with standard training data, the tea...