User Vimal

9 votes

Accepted

Train a Neural Network to distinguish between even and odd numbers

answered Jul 13, 2015 at 13:10

6 votes

How do I read this probability formula

answered Feb 1, 2015 at 22:32

6 votes

Exemple of real-life non-linear correlation in time series?

answered May 3, 2016 at 22:29

5 votes

Accepted

Is it possible to obtain joint PDF of set of variables given marginal PDF of each variable?

answered Jul 9, 2016 at 17:33

4 votes

Why don't we just learn the hyper parameters?

answered Sep 7, 2018 at 18:10

2 votes

Correlation between two time-series of unequal size

answered May 5, 2016 at 15:11

2 votes

Accepted

In practice, how to clearly prove that variables are uncorrelated?

answered May 3, 2016 at 15:35

2 votes

Accepted

Conditional expectation of two continuous variables

answered Oct 5, 2015 at 0:55

2 votes

Why do structure learning for Bayesian networks?

answered Oct 11, 2015 at 16:31

2 votes

Accepted

Explained variance in dimensionality reduction

answered Aug 31, 2015 at 19:13

2 votes

Is there anything wrong with performing EM clustering on PCA output?

answered Sep 4, 2015 at 17:12

1 vote

Accepted

How to compute the mean of a conditional linear gaussian distribution

answered Sep 11, 2015 at 15:43

1 vote

Accepted

Does maximum likelihood minimize a kind of generalized "0-1 loss"?

answered Sep 23, 2015 at 22:05

1 vote

Use Linear Regression to Estimate Conditional Probability for Bayes Net?

answered Jul 14, 2015 at 0:59

1 vote

Significance of correlation and regression coefficients

answered Apr 11, 2016 at 14:43

1 vote

Causal and conditional probability

answered Apr 15, 2016 at 12:29

1 vote

How to estimate an expected value of $f(x,y)$ when $x$ and $y$ are random

answered May 4, 2016 at 3:12

0 votes

Conditioning on vs. fixing a random variable

answered Jun 30, 2015 at 20:39

0 votes

Conditional independence identity

answered Aug 21, 2015 at 22:14

0 votes

Help with Bayes Theorem (possibly?)

answered Sep 30, 2015 at 1:18

0 votes

Accepted

causality testing with multiple variables

answered Sep 27, 2018 at 21:52

0 votes

Ian Goodfellow: Input/Parameter linearity in DNNs

answered Sep 28, 2018 at 19:25

0 votes

Understanding how many biases are there in a neural network?

answered Apr 12, 2020 at 14:32

-1 votes

Can I say that my samples are different just by looking at box plots without performing a test?

answered Feb 8, 2015 at 21:43

Stack Exchange Network

24 Answers

Train a Neural Network to distinguish between even and odd numbers

How do I read this probability formula

Exemple of real-life non-linear correlation in time series?

Is it possible to obtain joint PDF of set of variables given marginal PDF of each variable?

Why don't we just learn the hyper parameters?

Correlation between two time-series of unequal size

In practice, how to clearly prove that variables are uncorrelated?

Conditional expectation of two continuous variables

Why do structure learning for Bayesian networks?

Explained variance in dimensionality reduction

Is there anything wrong with performing EM clustering on PCA output?

How to compute the mean of a conditional linear gaussian distribution

Does maximum likelihood minimize a kind of generalized "0-1 loss"?

Use Linear Regression to Estimate Conditional Probability for Bayes Net?

Significance of correlation and regression coefficients

Causal and conditional probability

How to estimate an expected value of $f(x,y)$ when $x$ and $y$ are random

Conditioning on vs. fixing a random variable

Conditional independence identity

Help with Bayes Theorem (possibly?)

causality testing with multiple variables

Ian Goodfellow: Input/Parameter linearity in DNNs

Understanding how many biases are there in a neural network?

Can I say that my samples are different just by looking at box plots without performing a test?