4255 search results - page 251 / 851 » On Learning Boolean Functions |
178
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COLT
2008
Springer
15 years 8 months ago
2008
Springer
In the multi-view learning paradigm, the input variable is partitioned into two different views X1 and X2 and there is a target variable Y of interest. The underlying assumption i...
189
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JMLR
2010
15 years 1 months ago
2010
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
227
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JMLR
2012
13 years 9 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
184
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KDD
2006
ACM
16 years 7 months ago
2006
ACM
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
178
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BMCBI
2006
15 years 6 months ago
2006
Background: Methods for predicting protein function directly from amino acid sequences are useful tools in the study of uncharacterised protein families and in comparative genomic...