1106 search results - page 58 / 222 » On regularization algorithms in learning theory |
139
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SIGCSE
2009
ACM
16 years 5 months ago
2009
ACM
We describe the results from a two-year study with fourteen universities on presenting formal languages in a more visual, interactive and applied manner using JFLAP. In our result...
154
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NIPS
2007
15 years 6 months ago
2007
Semi-supervised methods use unlabeled data in addition to labeled data to construct predictors. While existing semi-supervised methods have shown some promising empirical performa...
138
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PKDD
2010
Springer
15 years 3 months ago
2010
Springer
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
132
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NIPS
2003
15 years 6 months ago
2003
We generalise the Gaussian process (GP) framework for regression by learning a nonlinear transformation of the GP outputs. This allows for non-Gaussian processes and non-Gaussian ...
142
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TIT
2002
15 years 4 months ago
2002
Principal curves, like principal components, are a tool used in multivariate analysis for ends like feature extraction. Defined in their original form, principal curves need not ex...