Vector Quantization based Speech Recognition Performance Improvement using Maximum Log Likelihood in Gaussian Distributiondoi:10.14400/JDC.2018.16.11.335Kyungyong ChungSang Yeob OhThe Society of Digital Policy and Management
217–233DENSITY ESTIMATION BY DUAL ASCENT OF THELOG-LIKELIHOOD∗ESTEBAN G. TABAK†AND ERIC VANDEN-EIJNDEN‡Dedicated to the sixtieth birthday of Professor Andrew MajdaAbstract. A methodology is developed to assign, from an observed sample, a joint-probabilitydistribution to a set of continuous ...
2.1 Gaussian approximation model of decoder-LLRs Since the LLRs of received signals are independent and have identically Gaussian distribution, the decoder-LLRsLufrom the output of the log-MAP decoder for convolutional codes follows an approximated Gaussian distribution[13]. Therefore,Lucan be written ...
https://math.stackexchange.com/questions/892832/why-we-consider-log-likelihood-instead-of-likelihood-in-gaussian-distribution https://math.stackexchange.com/questions/892832/why-we-consider-log-likelihood-instead-of-likelihood-in-gaussian-distribution https://towardsdatascience.com/whats-a-logarithm-cca50...
The Log Marginal Likelihood refers to the logarithm of the marginal likelihood function, which is maximized to obtain the optimal set of hyperparameters in Gaussian Process Models. AI generated definition based on: Computer Aided Chemical Engineering, 2018 ...
I have been training a GMM (Gaussian Mixture, clustering / unsupervised) on two version of the same dataset: one training with all its features and one training after a PCA truncated to its 2 first principal components. Then I have been plotting their respective log-likelihood, given by ...
Log of Multivariate Gaussian distribution: So the log of Gaussian pdf function_matlab: function [logp] = logmvnpdf(x,mu,Sigma) % outputs log likelihood array for observations x where x_n ~ N(mu,Sigma) % x is NxD, mu is 1xD, Sigma is DxD ...
开发者ID:chainer,项目名称:chainerrl,代码行数:8,代码来源:distribution.py 示例7: _eltwise_gaussian_log_likelihood ▲点赞 5▼ # 需要导入模块: from chainer import functions [as 别名]# 或者: from chainer.functions importlog[as 别名]def_eltwise_gaussian_log_likelihood(x, mean, var, ln_var):#lo...
read 15 Aug. 1950, rather than 1965.Fournier, H.G. and Febrer, J., 1976. Gaussian character of the distribution of magnetotelluric results working inlog-space. Phys. Earth Planet. Inter., 12(4): 359—364.Page 363, left column, line 6 from bottom: The last part of the sentence: “...
Mean log loss under a Gaussian distribution. Parameters --- y_true: ndarray vector of true targets y_pred: ndarray vector of predicted targets y_var: float or ndarray predicted variances Returns --- float: The mean negative log loss (negative log likelihood) Example --- >>...