2512 search results - page 118 / 503 » Learning from Highly Structured Data by Decomposition |
101
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ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We show how to apply the efficient Bayesian changepoint detection techniques of Fearnhead in the multivariate setting. We model the joint density of vector-valued observations usi...
104
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NPL
2006
14 years 10 months ago
2006
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
ICML
2010
IEEE
14 years 8 months ago
2010
IEEE
Classical dynamic Bayesian networks (DBNs) are based on the homogeneous Markov assumption and cannot deal with heterogeneity and non-stationarity in temporal processes. Various ap...
ICDM
2006
IEEE
15 years 4 months ago
2006
IEEE
In this paper, we propose a novel and general approach for time-series data mining. As an alternative to traditional ways of designing specific algorithm to mine certain kind of ...
104
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CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
Visual understanding is often based on measuring similarity between observations. Learning similarities specific to a certain perception task from a set of examples has been show...