sample space for a feature in machine learning
8980
What is meant by a "random variable"?
101461
Length of Feature
10240
Effective Sample Size for posterior inference from MCMC sampling
102449
Weighting features prior to SVM
142569
Spacings between continuous uniform random variables
47850
Sample space for mixture of two Normal distributions
107608
Differentiation in support vector machine
57585
Discovering new features
142784
For linear classifiers, do larger coefficients imply more important features?
19145
Validation of machine learning algorithms implementation
79976
Feature Scaling and Mean Normalization
69831
Obtaining knowledge from a random forest
16194
Random Sample vs. As Large a Sample as Possible?
50358
Choosing Random Forests' parameters
20178
Ljung-Box finite sample adjustments
142843
Maximum gap between samples drawn without replacement from a discrete uniform distribution
79483
How do I sample from a discrete (categorical) distribution in log space?