163 search results - page 15 / 33 » Automatic Parameter Learning for Multiple Network Alignment |
ICDM
2006
IEEE
15 years 5 months ago
2006
IEEE
Hierarchies are an intuitive and effective organization paradigm for data. Of late there has been considerable research on automatically learning hierarchical organizations of dat...
108
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CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
We present a fully probabilistic stick-figure model that uses a nonparametric Bayesian distribution over trees for its structure prior. Sticks are represented by nodes in a tree i...
ICDM
2009
IEEE
15 years 6 months ago
2009
IEEE
—Lack of supervision in clustering algorithms often leads to clusters that are not useful or interesting to human reviewers. We investigate if supervision can be automatically tr...
142
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ECAI
2004
Springer
15 years 5 months ago
2004
Springer
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
114
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EMNLP
2009
14 years 9 months ago
2009
We connect two scenarios in structured learning: adapting a parser trained on one corpus to another annotation style, and projecting syntactic annotations from one language to ano...