1860 search results - page 40 / 372 » Boosting Methods for Regression |
105
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ICDM
2005
IEEE
15 years 6 months ago
2005
IEEE
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...
117
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ML
2007
ACM
15 years 8 days ago
2007
ACM
Classifier calibration is the process of converting classifier scores into reliable probability estimates. Recently, a calibration technique based on isotonic regression has gain...
97
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NAACL
2010
14 years 10 months ago
2010
We present a new method that compresses sentences by removing words. In a first stage, it generates candidate compressions by removing branches from the source sentence's dep...
ESANN
2000
15 years 2 months ago
2000
Feed-forward neural networks (Multi-Layered Perceptrons) are used widely in real-world regression or classification tasks. A reliable and practical measure of prediction "conf...
117
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ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
In this paper, we present a novel semisupervised regression algorithm working on multiclass data that may lie on multiple manifolds. Unlike conventional manifold regression algori...