LDL4C

LDLM

class pyldl.algorithms.LDLM(*args, **kwargs)

LDLM is proposed in paper [LDL4C-WG21a].

LDL-HR

class pyldl.algorithms.LDL_HR(*args, **kwargs)

LDL-HR is proposed in paper [LDL4C-WG21b].

LDL4C

class pyldl.algorithms.LDL4C(*args, **kwargs)

LDL4C is proposed in paper [LDL4C-WG19].

References

[LDL4C-WG21a]

Jing Wang and Xin Geng. Label distribution learning machine. In Proceedings of the International Conference on Machine Learning, 10749–10759. 2021.

[LDL4C-WG21b]

Jing Wang and Xin Geng. Learn the highest label and rest label description degrees. In Proceedings of the International Joint Conference on Artificial Intelligence, 3097–3103. 2021. URL: https://doi.org/10.24963/ijcai.2021/426.

[LDL4C-WG19]

Jing Wang and Xin Geng. Classification with label distribution learning. In Proceedings of the International Joint Conference on Artificial Intelligence, 3712–3718. 2019. URL: https://doi.org/10.24963/ijcai.2019/515.

Further Reading

[LDL4C-WGX21]

Jing Wang, Xin Geng, and Hui Xue. Re-weighting large margin label distribution learning for classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(9):5445–5459, 2021. URL: https://doi.org/10.1109/TPAMI.2021.3082623.