2512 search results - page 302 / 503 » Learning from Highly Structured Data by Decomposition |
148
Voted
BMCBI
2010
15 years 1 months ago
2010
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
115
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KDD
2005
ACM
15 years 9 months ago
2005
ACM
This paper describes TIPPPS (Time Interleaved Product Purchase Prediction System), which analyses billing data of corporate customers in a large telecommunications company in orde...
119
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BMCBI
2010
15 years 4 months ago
2010
Background: Proteins show a great variety of 3D conformations, which can be used to infer their evolutionary relationship and to classify them into more general groups; therefore ...
169
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ICDM
2010
IEEE
15 years 2 months ago
2010
IEEE
Link prediction is a fundamental problem in social network analysis and modern-day commercial applications such as Facebook and Myspace. Most existing research approaches this pro...
150
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JMLR
2010
15 years 2 months ago
2010
Convolution kernels for trees provide simple means for learning with tree-structured data. The computation time of tree kernels is quadratic in the size of the trees, since all pa...