146 search results - page 27 / 30 » Learning Metrics Between Tree Structured Data: Application t... |
111
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BMCBI
2010
14 years 9 months ago
2010
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
100
Voted
CVPR
2006
IEEE
15 years 11 months ago
2006
IEEE
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
108
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CORR
2006
Springer
14 years 9 months ago
2006
Springer
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
103
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MCS
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Hierarchical classification problems gained increasing attention within the machine learning community, and several methods for hierarchically structured taxonomies have...
IJCV
2008
14 years 9 months ago
2008
This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world scenes. Our approach considers object categorization and figure...