201 search results - page 14 / 41 » Exploiting Unlabeled Data for Improving Accuracy of Predicti... |
157
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IWPSE
2007
IEEE
15 years 11 months ago
2007
IEEE
Predicting the defects in the next release of a large software system is a very valuable asset for the project manger to plan her resources. In this paper we argue that temporal f...
151
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KDD
1999
ACM
15 years 9 months ago
1999
ACM
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...
156
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ICDM
2008
IEEE
15 years 11 months ago
2008
IEEE
In this work, we study the problem of within-network relational learning and inference, where models are learned on a partially labeled relational dataset and then are applied to ...
163
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KDD
2008
ACM
16 years 5 months ago
2008
ACM
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
191
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JMLR
2010
15 years 4 days ago
2010
Machine learning methods that can use additional knowledge in their inference process are central to the development of integrative bioinformatics. Inclusion of background knowled...