214 search results - page 27 / 43 » Semi-Supervised Random Forests |
112
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ICASSP
2008
IEEE
15 years 9 months ago
2008
IEEE
Bagging is an ensemble method that uses random resampling of a dataset to construct models. In classification scenarios, the random resampling procedure in bagging induces some c...
118
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Prediction markets are used in real life to predict outcomes of interest such as presidential elections. In this work we introduce a mathematical theory for Artificial Prediction ...
129
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ECCV
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
148
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APPROX
2008
Springer
15 years 5 months ago
2008
Springer
Let H be a graph, and let CH(G) be the number of (subgraph isomorphic) copies of H contained in a graph G. We investigate the fundamental problem of estimating CH(G). Previous res...
143
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IROS
2009
IEEE
15 years 9 months ago
2009
IEEE
— Accurate needle insertion in 3D environment is always a grand challenge. When multiple targets are located in the tissue, a procedure of inserting multiple needles from a singl...