2363 search results - page 377 / 473 » Learning Algorithms for Domain Adaptation |
123
Voted
WWW
2008
ACM
16 years 1 months ago
2008
ACM
This paper considers the problem of identifying on the Web compound documents (cDocs) ? groups of web pages that in aggregate constitute semantically coherent information entities...
169
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FOCS
2010
IEEE
14 years 10 months ago
2010
IEEE
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
104
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ECML
2003
Springer
15 years 5 months ago
2003
Springer
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
115
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MLMTA
2007
15 years 1 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...
91
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TSMC
2010
14 years 7 months ago
2010
In Smart Spaces (SSs), the capability of learning from experience is fundamental for autonomous adaptation to environmental changes and for proactive interaction with users. New re...