922 search results - page 103 / 185 » Learning Gaussian Process Models from Uncertain Data |
125
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BMCBI
2010
15 years 2 months ago
2010
Background: One of the challenges of bioinformatics remains the recognition of short signal sequences in genomic DNA such as donor or acceptor splice sites, splicing enhancers or ...
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
105
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MLDM
2009
Springer
15 years 9 months ago
2009
Springer
Abstract. Regression models are often required for controlling production processes by predicting parameter values. However, the implicit assumption of standard regression techniqu...
121
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IEEEVAST
2010
14 years 9 months ago
2010
The process of learning models from raw data typically requires a substantial amount of user input during the model initialization phase. We present an assistive visualization sys...
101
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KDD
2001
ACM
16 years 3 months ago
2001
ACM
Skewed distributions appear very often in practice. Unfortunately, the traditional Zipf distribution often fails to model them well. In this paper, we propose a new probability di...