Source code for Multi-Annotator Supervised LDA for regression (MA-sLDAr) released
MA-sLDAr is a C++ implementation of the supervised topic models with responses/target variables provided by multiple annotators with different levels of expertise, as proposed in:
- Rodrigues, F., Lourenço, M, Ribeiro, B, Pereira, F. Learning Supervised Topic Models for Classification and Regression from Crowds. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.
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