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Label Distribution Learning on emotion6 (3 random splits)
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0.5111
KL Divergence
ERDF
0.495392
0.601421
0.70745
0.813479
Feb 6, 2026
KL Divergence
Chebyshev Distance
Clark Distance
Canberra Distance
Cosine Similarity
Intersection Similarity
Updated 1mo ago
Evaluation Results
Method
Method
Links
KL Divergence
Chebyshev Distance
Clark Distance
Canberra Distance
Cosine Similarity
Intersection Similarity
ERDF
number of trees=100, m...
2026.02
0.5111
0.2869
1.6495
3.6858
0.7496
62.38
LDL-SCL
hyperparameters=λ1, λ2...
2026.02
0.5862
0.3108
1.6503
3.7
0.7152
58.33
StructRF
number of trees=100, m...
2026.02
0.5893
0.3137
1.6569
3.7285
0.7125
57.93
AA-BP
optimizer=SA-BFGS, max...
2026.02
0.6802
0.3413
1.6686
3.7883
0.6657
54.4
AA-KNN
k=5, distance metric=m...
2026.02
0.9038
0.3326
1.7087
3.8728
0.6561
55.34
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