1106 search results - page 186 / 222 » On regularization algorithms in learning theory |
146
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MLMTA
2007
15 years 5 months ago
2007
- Clustering plays an indispensable role for data analysis. Many clustering algorithms have been developed. However, most of them suffer either poor performance of unsupervised lea...
112
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JMLR
2006
15 years 4 months ago
2006
In this work we consider the task of relaxing the i.i.d. assumption in pattern recognition (or classification), aiming to make existing learning algorithms applicable to a wider r...
137
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ML
2002
ACM
15 years 3 months ago
2002
ACM
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
141
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CHI
2011
ACM
14 years 7 months ago
2011
ACM
The Web provides a corpus of design examples unparalleled in human history. However, leveraging existing designs to produce new pages is often difficult. This paper introduces th...
169
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JMLR
2012
13 years 6 months ago
2012
We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...