209 search results - page 20 / 42 » Analyzing the Errors of Unsupervised Learning |
DRR
2008
14 years 11 months ago
2008
We describe an approach to unsupervised high-accuracy recognition of the textual contents of an entire book using fully automatic mutual-entropy-based model adaptation. Given imag...
KDD
2001
ACM
15 years 10 months ago
2001
ACM
Clustering algorithms have become increasingly important in handling and analyzing data. Considerable work has been done in devising effective but increasingly specific clustering...
COLT
2007
Springer
15 years 3 months ago
2007
Springer
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
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SDM
2009
SIAM
15 years 6 months ago
2009
SIAM
We introduce FuncICA, a new independent component analysis method for pattern discovery in inherently functional data, such as time series data. FuncICA can be considered an analo...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...