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Next-step prediction on Synthetic HMM Overcomplete case N=1000
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0.737
Validation Loss
HMM Filter
0.62784
1.36467
2.1015
2.83833
Nov 13, 2025
Validation Loss
Updated 1mo ago
Evaluation Results
Method
Method
Links
Validation Loss
HMM Filter
2025.11
0.737
nanoGPT-m
# parameters=199,232,...
2025.11
0.81
nanoGPT-s
# parameters=51,392, t...
2025.11
0.829
Belief Net
# parameters=6,208, tr...
2025.11
0.83
Baum-Welch
# parameters=6,208, tr...
2025.11
1.216
Random
2025.11
3.466
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