3894 search results - page 578 / 779 » Approximation Algorithms for Biclustering Problems |
175
Voted
JMLR
2010
14 years 10 months ago
2010
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
159
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SIGMOD
2010
ACM
15 years 8 months ago
2010
ACM
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
167
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SIAMIS
2011
14 years 10 months ago
2011
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
119
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STOC
2005
ACM
16 years 4 months ago
2005
ACM
A low-distortion embedding between two metric spaces is a mapping which preserves the distances between each pair of points, up to a small factor called distortion. Low-distortion...
139
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GECCO
2010
Springer
15 years 7 months ago
2010
Springer
Multiobjective optimization in general aims at learning about the problem at hand. Usually the focus lies on objective space properties such as the front shape and the distributio...