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Classification on UCI Letter

Classification on UCI Letter

146Training Time (s)FM-GP

Updated 5mo ago

Evaluation results

Method	Links
FM-GP2026.05		146
GPnn2026.05		1,050
Var2026.05		1,230

State-of-the-art paper

FM-GP

Scalable Gaussian process inference via neural feature maps

Dataset

UCI letter

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Related benchmarks

Classification on MNIST (Error Rate, ECE)Classification on CIFAR10 (Error rate, ECE)Training Time on UCI Eeg Classification on UCI Htru2 Training Time on UCI Magic (Classification)

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