1080 search results - page 108 / 216 » Hedging predictions in machine learning |
140
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ICML
2009
IEEE
16 years 7 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...
168
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CEC
2009
IEEE
16 years 1 months ago
2009
IEEE
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
191
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ACML
2009
Springer
16 years 27 days ago
2009
Springer
Many regression schemes deliver a point estimate only, but often it is useful or even essential to quantify the uncertainty inherent in a prediction. If a conditional density estim...
157
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IJBRA
2007
15 years 6 months ago
2007
A function of a protein is dependent on its structure; therefore, predicting a protein structure from an amino acid sequence is an active area of research. Optimally predicting a ...
173
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CSB
2005
IEEE
15 years 12 months ago
2005
IEEE
The explanation of a decision is important for the acceptance of machine learning technology in bioinformatics applications such as protein structure prediction. In past research,...