Performance of the algorithms for arousal and valence in 2015.
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资源简介：
BLSTM-ELM—BLSTM-based multi-scale regression fusion with Extreme Learning Machine. AE-HE-BLSTM—BLSTM + features created through deep learning. LS—Linear regression + Smoothing. LSB—Least Squares Boosting + Smoothing. SVR + CCRF—SVR + Continuous Conditional Random Fields.
创建时间：
2017-03-11
