93 search results - page 9 / 19 » Learning Measurement Models for Unobserved Variables |
114
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CVPR
2011
IEEE
14 years 8 months ago
2011
IEEE
We describe a generative model of the relationship between two images. The model is deļ¬ned as a factored threeway Boltzmann machine, in which hidden variables collaborate to deļ...
RECOMB
2000
Springer
15 years 3 months ago
2000
Springer
DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a "snapshot" of transcription levels within the c...
113
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SODA
2000
ACM
15 years 1 months ago
2000
ACM
We present a new general upper bound on the number of examples required to estimate all of the expectations of a set of random variables uniformly well. The quality of the estimat...
123
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BMVC
2010
14 years 9 months ago
2010
In this paper, we propose a framework for predicting the performance of a vision algorithm given the input image or video so as to maximize the algorithm's ability to provide...
150
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RECOMB
2004
Springer
16 years 4 days ago
2004
Springer
Abstract. In this study we propose a novel model for the representation of biological networks and provide algorithms for learning model parameters from experimental data. Our appr...