2884 search results - page 149 / 577 » Evaluating learning algorithms and classifiers |
160
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ICDM
2003
IEEE
15 years 10 months ago
2003
IEEE
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
140
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KDD
2007
ACM
16 years 5 months ago
2007
ACM
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
148
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GECCO
2007
Springer
15 years 10 months ago
2007
Springer
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
119
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
We propose a formulation of the Decision Tree learning algorithm in the Compression settings and derive tight generalization error bounds. In particular, we propose Sample Compres...
286
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ICDE
1999
IEEE
16 years 6 months ago
1999
IEEE
We present parallel algorithms for building decision-tree classifiers on shared-memory multiprocessor (SMP) systems. The proposed algorithms span the gamut of data and task parall...