Pages that link to "Item:Q2576617"
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The following pages link to Theoretically optimal parameter choices for support vector regression machines with noisy input (Q2576617):
Displaying 6 items.
- Evolutionary sampling: a novel way of machine learning within a probabilistic framework (Q528711) (← links)
- Practical selection of SVM parameters and noise estimation for SVM regression (Q1887129) (← links)
- Experimentally optimal \(\nu\) in support vector regression for different noise models and parameter settings (Q1887132) (← links)
- Dependency between degree of fit and input noise in fuzzy linear regression using non-symmet\-ric fuzzy triangular coefficients (Q2458688) (← links)
- (Q5399895) (← links)
- Support vector machines learning noisy polynomial rules (Q5951425) (← links)
