4773 search results - page 207 / 955 » Learning from Uncertain Data |
125
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KDD
2009
ACM
15 years 7 months ago
2009
ACM
In this paper, we introduce a system named Argo which provides intelligent advertising made possible from users’ photo collections. Based on the intuition that user-generated ph...
132
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ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
85
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ICML
2000
IEEE
16 years 1 months ago
2000
IEEE
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
118
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RECOMB
2002
Springer
16 years 28 days ago
2002
Springer
We present a probabilistic framework that models the process by which transcriptional binding explains the mRNA expression of different genes. Our joint probabilistic model unifie...
146
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ESANN
2006
15 years 2 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...