The following pages link to (Q4251448):
Displaying 18 items.
- Bagging predictors (Q65108) (← links)
- Predictive learning via rule ensembles (Q71543) (← links)
- Subsemble: an ensemble method for combining subset-specific algorithm fits (Q116028) (← links)
- A sequential predictor retraining algorithm and its application to market prediction (Q378742) (← links)
- Topology and simulations of a hierarchical Markovian radial basis function neural network classifier (Q526703) (← links)
- Decoding design based on posterior probabilities in ternary error-correcting output codes (Q663412) (← links)
- Majority vote ensembles of conformal predictors (Q669293) (← links)
- Bundling classifiers by bagging trees (Q957281) (← links)
- Double-bagging: Combining classifiers by bootstrap aggregation (Q1402702) (← links)
- Online ensemble learning: An empirical study (Q1431693) (← links)
- Randomizing outputs to increase prediction accuracy (Q1584833) (← links)
- Cascade generalization (Q1592374) (← links)
- Arcing classifiers. (With discussion) (Q1807115) (← links)
- How large should ensembles of classifiers be? (Q1951252) (← links)
- Neural network ensemble strategies for financial decision applications (Q2387272) (← links)
- A mixture of experts committee machine to design compensators for intensity modulated radiation therapy (Q2498661) (← links)
- Structural, Syntactic, and Statistical Pattern Recognition (Q5466386) (← links)
- Combining Predictors for Classification Using the Area under the Receiver Operating Characteristic Curve (Q5473228) (← links)
