2878 search results - page 91 / 576 » Learning the Common Structure of Data |
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
We present a novel approach for learning nonlinear dynamic models, which leads to a new set of tools capable of solving problems that are otherwise difficult. We provide theory sh...
145
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CORR
2010
Springer
15 years 2 months ago
2010
Springer
This paper proposes a nonparametric Bayesian method for exploratory data analysis and feature construction in continuous time series. Our method focuses on understanding shared fe...
106
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MICCAI
2009
Springer
16 years 4 months ago
2009
Springer
Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...
117
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RECOMB
2007
Springer
16 years 3 months ago
2007
Springer
Transcription factor (TF) binding to its DNA target site is a fundamental regulatory interaction. The most common model used to represent TF binding specificities is a position spe...
152
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AMAI
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. This paper is concerned with the reliable inference of optimal treeapproximations to the dependency structure of an unknown distribution generating data. The traditional ...