Kalman filter word vector learning method based on Diesel process
A Kalman filter, Kalman filter technology, applied in complex mathematical operations, character and pattern recognition, instruments, etc., can solve the curse of dimensionality, can not well describe the similarity of words and words and other problems
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[0068] Embodiments of the present invention provide a Diesel process-based Kalman filter word vector learning method. The present invention assumes that the process noise and measurement noise of the system obey the Diesque distribution, and then can calculate the Diesque posterior distribution, and then use MCMC( Monte Carlo sampling algorithm) sampling algorithm to sample, get the candidate cluster with the highest selection probability, put it into the LDS model and train the model parameters, and finally input the preprocessed corpus into the trained language model, and use the Kalman filter A one-step update formula computes an estimate of the underlying vector representation.
[0069] Attached below figure 1 The technical solution of the present invention is described in detail.
[0070] Firstly, training and preprocessing are performed on the corpus, including word segmentation processing and dictionary generation. This is a well-known processing for word vector learni...
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