1183 search results - page 21 / 237 » Learning Process Models with Missing Data |
103
Voted
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...
106
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ICTAI
2005
IEEE
15 years 7 months ago
2005
IEEE
In this paper, we propose a novel stochastic framework for unsupervised manifold learning. The latent variables are introduced, and the latent processes are assumed to characteriz...
151
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BMCBI
2007
15 years 1 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
119
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AAAI
2008
15 years 3 months ago
2008
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
105
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ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
We present a probabilistic model for clustering of objects represented via pairwise dissimilarities. We propose that even if an underlying vectorial representation exists, it is b...