MathsGee STEM & Financial Literacy Community - Recent questions tagged gaussian
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Powered by Question2AnswerWhat is Gaussian Process regression (GP)?
https://mathsgee.com/qna/21207/what-is-gaussian-process-regression-gp
What is Gaussian Process regression (GP)?Data Sciencehttps://mathsgee.com/qna/21207/what-is-gaussian-process-regression-gpMon, 19 Oct 2020 23:03:31 +0000True or false? Any decision boundary that we get from a generative model with class-conditional Gaussian distributions could in principle be reproduced with an SVM and a polynomial kernel.
https://mathsgee.com/qna/21070/true-or-false-any-decision-boundary-that-we-get-from-a-generative-model-with-class-conditional-gaussian-distributions-could-in-principle-be-reproduced-with-an-svm-and-a-polynomial-kernel
True or false? Any decision boundary that we get from a generative model with class-conditional Gaussian distributions could in principle be reproduced with an SVM and a polynomial kernel.Data Sciencehttps://mathsgee.com/qna/21070/true-or-false-any-decision-boundary-that-we-get-from-a-generative-model-with-class-conditional-gaussian-distributions-could-in-principle-be-reproduced-with-an-svm-and-a-polynomial-kernelSun, 11 Oct 2020 20:07:11 +0000Which of these two models is likely to fit the test data better?
https://mathsgee.com/qna/21068/which-of-these-two-models-is-likely-to-fit-the-test-data-better
We are trying to learn regression parameters for a dataset which we know was generated from a polynomial of a certain degree, but we do not know what this degree is. Assume the data was actually generated from a polynomial of degree 5 with some added Gaussian noise (that is $y = w_0+w_1x+w_2x^2+w_3x^3+w_4x^4+w_5x^5+\epsilon, \epsilon \sim N(0,1))$.<br />
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For training we have 100 $\{x,y\}$ pairs and for testing we are using an additional set of 100 $\{x,y\}$ pairs. Since we do not know the degree of the polynomial we learn two models from the data. Model A learns parameters for a polynomial of degree 4 and model B learns parameters for a polynomial of degree 6. Which of these two models is likely to fit the test data better?Data Sciencehttps://mathsgee.com/qna/21068/which-of-these-two-models-is-likely-to-fit-the-test-data-betterSun, 11 Oct 2020 20:05:04 +0000What are Gaussian Mixture Models?
https://mathsgee.com/qna/19066/what-are-gaussian-mixture-models
What are Gaussian Mixture Models?Data Sciencehttps://mathsgee.com/qna/19066/what-are-gaussian-mixture-modelsSun, 06 Sep 2020 07:16:11 +0000What is the effect of changing the training - test split when using the Naive Bayes Classifier?
https://mathsgee.com/qna/18586/what-is-the-effect-of-changing-the-training-test-split-when-using-the-naive-bayes-classifier
What is the effect of changing the training - test split when using the Naive Bayes Classifier?Data Sciencehttps://mathsgee.com/qna/18586/what-is-the-effect-of-changing-the-training-test-split-when-using-the-naive-bayes-classifierFri, 04 Sep 2020 04:16:35 +0000What is the Gaussian Naive Bayes?
https://mathsgee.com/qna/16870/what-is-the-gaussian-naive-bayes
What is the Gaussian Naive Bayes?Data Sciencehttps://mathsgee.com/qna/16870/what-is-the-gaussian-naive-bayesMon, 27 Jul 2020 18:52:13 +0000What do you understand by the term Normal Distribution?
https://mathsgee.com/qna/333/what-do-you-understand-by-the-term-normal-distribution
<p><strong>What do you understand by the term Normal Distribution?</strong></p>
Data Sciencehttps://mathsgee.com/qna/333/what-do-you-understand-by-the-term-normal-distributionMon, 11 Mar 2019 09:01:20 +0000