Continuously Reproducing Toolchains in Pattern Recognition and Machine Learning Experiments
نویسندگان
چکیده
A. Scalable training The bottleneck of the training procedure is the expectation step (E-Step) of the Expectation-Maximization algorithm. This E-Step requires the computation of the first and second order moments of the latent variables. 1) Estimating the first order moment of the Latent Variables: The most computationally expensive part when estimating the latent variables is the inversion of the matrix ̊̃ P (Equation (27)). This matrix is block diagonal, the two blocks being P0 (Equation (28)) and (a repetition of) P1 (Equation (29)),
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