1364 search results - page 106 / 273 » Sampling Methods for Unsupervised Learning |
111
Voted
KDD
2002
ACM
16 years 3 months ago
2002
ACM
Part of the process of data integration is determining which sets of identifiers refer to the same real-world entities. In integrating databases found on the Web or obtained by us...
124
Voted
ICARCV
2008
IEEE
15 years 9 months ago
2008
IEEE
—This paper proposes a set of methods for building informative and robust feature point representations, used for accurately labeling points in a 3D point cloud, based on the typ...
92
Voted
TNN
2008
15 years 2 months ago
2008
In this paper, a general method for the numerical solution of maximum-likelihood estimation (MLE) problems is presented; it adopts the deterministic learning (DL) approach to find ...
133
Voted
ICPR
2008
IEEE
15 years 9 months ago
2008
IEEE
With the increase of the training set’s size, the efficiency of support vector machine (SVM) classifier will be confined. To solve such a problem, a novel preextracting method f...
143
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JMLR
2006
15 years 2 months ago
2006
The consistency of classification algorithm plays a central role in statistical learning theory. A consistent algorithm guarantees us that taking more samples essentially suffices...