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166
Voted
BMCBI
2010
15 years 3 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...
124
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We propose statistical predicate invention as a key problem for statistical relational learning. SPI is the problem of discovering new concepts, properties and relations in struct...
128
Voted
KDD
2008
ACM
16 years 3 months ago
2008
ACM
Traditional spectral classification has been proved to be effective in dealing with both labeled and unlabeled data when these data are from the same domain. In many real world ap...
124
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We consider spectral clustering and transductive inference for data with multiple views. A typical example is the web, which can be described by either the hyperlinks between web ...
161
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ICCV
2005
IEEE
16 years 5 months ago
2005
IEEE
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...