Pages that link to "Item:Q2339398"
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The following pages link to Extreme learning machine for ranking: generalization analysis and applications (Q2339398):
Displaying 10 items.
- Debiased magnitude-preserving ranking: learning rate and bias characterization (Q777111) (← links)
- Trends in extreme learning machines: a review (Q889343) (← links)
- Proceedings of ELM-2015. Volume 1. Theory, algorithms and applications (I). Proceedings of the international conference on extreme learning machine, Hangzhou, China, December 15--17, 2015 (Q1688562) (← links)
- Proceedings of ELM-2015. Volume 2. Theory, algorithms and applications (II). Proceedings of the international conference on extreme learning machine, Hangzhou, China, December 15--17, 2015 (Q1696173) (← links)
- Training an extreme learning machine by localized generalization error model (Q1797937) (← links)
- Ordinal optimization based metaheuristic algorithm for optimal inventory policy of assemble-to-order systems (Q2284517) (← links)
- A fast SVD-hidden-nodes based extreme learning machine for large-scale data analytics (Q2418132) (← links)
- Learning rate of magnitude-preserving regularization ranking with dependent samples (Q2800842) (← links)
- On the convergence rate and some applications of regularized ranking algorithms (Q5963450) (← links)
- The generalized extreme learning machines: tuning hyperparameters and limiting approach for the Moore-Penrose generalized inverse (Q6055151) (← links)
