User user3125

80 votes

2 answers

125k views

Performance metrics to evaluate unsupervised learning

asked Dec 9, 2013 at 3:00

21 votes

2 answers

61k views

Whether a AR(P) process is stationary or not?

asked Dec 13, 2011 at 21:24

18 votes

1 answer

16k views

The input parameters for using latent Dirichlet allocation

asked Mar 23, 2012 at 2:33

11 votes

3 answers

16k views

Regarding using bigram (N-gram) model to build feature vector for text document

asked Apr 2, 2012 at 14:02

10 votes

3 answers

2k views

Why the exchangeability of random variables is essential in hierarchical bayesian models?

asked May 6, 2011 at 16:28

9 votes

1 answer

2k views

Regarding the sampling procedure in Adaboost algorithm

asked Dec 5, 2012 at 23:23

9 votes

1 answer

11k views

What is the difference between patch-wise training and fully convolutional training in FCNs?

asked Mar 7, 2017 at 23:22

8 votes

1 answer

6k views

What does "case-control" and "cross-sectional" mean in the context of logistic modeling?

asked Feb 8, 2011 at 21:30

8 votes

2 answers

4k views

Kernel logistic regression

asked Apr 19, 2012 at 2:29

8 votes

4 answers

4k views

Support vector machine for text classification

asked Jul 24, 2012 at 2:35

7 votes

4 answers

8k views

Train a SVM-based classifier while taking into account the weight information

asked Jan 25, 2012 at 3:32

7 votes

3 answers

2k views

Effect of missing data and outliers on least square estimation

asked Feb 9, 2011 at 20:20

7 votes

2 answers

169 views

Regarding the formula of using $\text{P}(Y|X)$ to compute $\text{E}[X]$

asked Aug 9, 2013 at 12:21

6 votes

1 answer

3k views

ROC curve and confusion matrix in classifier performance evaluation

asked Mar 16, 2013 at 22:01

6 votes

1 answer

176 views

Regarding the size of training data for building classifier

asked Apr 4, 2012 at 20:23

5 votes

1 answer

3k views

Feature construction for text mining

asked Apr 28, 2012 at 12:46

5 votes

1 answer

347 views

some basic questions for process mining

asked Oct 22, 2012 at 16:49

5 votes

3 answers

564 views

Correlation in linear regression

asked Jul 14, 2014 at 19:12

5 votes

1 answer

1k views

cross channel parametric pooling layer in the architecture of Network in Network

asked Sep 14, 2016 at 20:21

4 votes

1 answer

2k views

the derivation of the conditional posterior for the Poisson model setting

asked Jan 23, 2014 at 18:48

4 votes

1 answer

2k views

kernel size and stride value for fully convolutional network for semantic segmentation

asked Jul 28, 2016 at 4:41

4 votes

2 answers

402 views

Regarding the convergence assessment on Markov chain monte carlo (MCMC)

asked Jan 24, 2013 at 15:21

4 votes

2 answers

511 views

Convex loss optimization and supervised learning

asked Dec 5, 2011 at 21:46

4 votes

1 answer

2k views

How does normalization reduce dimensionality of data?

asked Nov 3, 2011 at 15:58

3 votes

1 answer

2k views

How to determine whether a classifier like adaboost is weak?

asked Jul 31, 2012 at 17:08

3 votes

0 answers

140 views

Capturing the relationships among model variables based on ANOVA table

asked Mar 15, 2012 at 15:15

3 votes

1 answer

2k views

posterior distribution of f for Gaussian process model given existed observation data and input

asked May 6, 2019 at 18:30

2 votes

1 answer

519 views

forward and reverse KL divergence for variational inference

asked Nov 22, 2021 at 15:24

2 votes

1 answer

128 views

relationship between correlation, covariiance and conditional distribution

asked Feb 11, 2019 at 3:48

2 votes

1 answer

106 views

Generate random sample of X1 and X2

asked Mar 4, 2019 at 1:17

Stack Exchange Network

46 Questions

Performance metrics to evaluate unsupervised learning

Whether a AR(P) process is stationary or not?

The input parameters for using latent Dirichlet allocation

Regarding using bigram (N-gram) model to build feature vector for text document

Why the exchangeability of random variables is essential in hierarchical bayesian models?

Regarding the sampling procedure in Adaboost algorithm

What is the difference between patch-wise training and fully convolutional training in FCNs?

What does "case-control" and "cross-sectional" mean in the context of logistic modeling?

Kernel logistic regression

Support vector machine for text classification

Train a SVM-based classifier while taking into account the weight information

Effect of missing data and outliers on least square estimation

Regarding the formula of using $\text{P}(Y|X)$ to compute $\text{E}[X]$

ROC curve and confusion matrix in classifier performance evaluation

Regarding the size of training data for building classifier

Feature construction for text mining

some basic questions for process mining

Correlation in linear regression

cross channel parametric pooling layer in the architecture of Network in Network

the derivation of the conditional posterior for the Poisson model setting

kernel size and stride value for fully convolutional network for semantic segmentation

Regarding the convergence assessment on Markov chain monte carlo (MCMC)

Convex loss optimization and supervised learning

How does normalization reduce dimensionality of data?

How to determine whether a classifier like adaboost is weak?

Capturing the relationships among model variables based on ANOVA table

posterior distribution of f for Gaussian process model given existed observation data and input

forward and reverse KL divergence for variational inference

relationship between correlation, covariiance and conditional distribution

Generate random sample of X1 and X2