4660 search results - page 590 / 932 » Learning from imperfect data |
109
Voted
BMCBI
2006
15 years 3 months ago
2006
Background: A number of methods that use both protein structural and evolutionary information are available to predict the functional consequences of missense mutations. However, ...
121
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COLT
2010
Springer
15 years 1 months ago
2010
Springer
One of the most widely used techniques for data clustering is agglomerative clustering. Such algorithms have been long used across many different fields ranging from computational...
141
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CVPR
2010
IEEE
15 years 1 months ago
2010
IEEE
Our goal is to fit the multiple instances (or structures) of a generic model existing in data. Here we propose a novel model selection scheme to estimate the number of genuine str...
157
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JMLR
2010
14 years 10 months 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...
186
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RECOMB
2004
Springer
16 years 3 months ago
2004
Springer
Abstract. In this study we propose a novel model for the representation of biological networks and provide algorithms for learning model parameters from experimental data. Our appr...