2615 search results - page 236 / 523 » Predictive Hebbian Learning |
112
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ICML
2009
IEEE
16 years 5 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...
134
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CEC
2009
IEEE
15 years 11 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...
153
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ACML
2009
Springer
15 years 10 months 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...
146
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IJCNN
2007
IEEE
15 years 10 months ago
2007
IEEE
—Default ARTMAP combines winner-take-all category node activation during training, distributed activation during testing, and a set of default parameter values that define a read...
127
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KBSE
2007
IEEE
15 years 10 months ago
2007
IEEE
Adoption of advanced automated SE (ASE) tools would be favored if a business case could be made that these tools are more valuable than alternate methods. In theory, software pred...