590 search results - page 50 / 118 » Protein Classification with Multiple Algorithms |
CIKM
2006
Springer
15 years 1 months ago
2006
Springer
In many applications, classifiers need to be built based on multiple related data streams. For example, stock streams and news streams are related, where the classification patter...
BMCBI
2008
14 years 9 months ago
2008
Background: Mining gene patterns that are common to multiple genomes is an important biological problem, which can lead us to novel biological insights. When family classification...
105
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CHI
2009
ACM
15 years 10 months ago
2009
ACM
Machine learning is an increasingly used computational tool within human-computer interaction research. While most researchers currently utilize an iterative approach to refining ...
BMCBI
2004
14 years 9 months ago
2004
Background: Multiple sequence alignment algorithms are very important tools in molecular biology today. Accurate alignment of proteins is central to several areas such as homology...
109
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PAMI
2011
14 years 4 months ago
2011
—Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learni...