基于Softmax与Sampling的方法,流式采样率预估
作者:互联网
Sampling-bias-corrected neural modeling for large corpus item recommendations - AMiner
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
标签:基于,AMiner,采样率,Sampling,bias,Softmax,Adaptive 来源: https://blog.csdn.net/qq_16234613/article/details/120258202