5 votes
Accepted

What is "conditioning" on a feature?

This is conditioning in the sense of conditional probability. The idea is that the authors have some "standard physically-inspired features". They are splitting the data up into bins based on the ...
John Doucette's user avatar
5 votes
Accepted

Why isn't conditional probability sufficient to describe causality?

Perhaps the shortest answer to this question is that Bayes' Theorem itself allows us to easily change the direction of a conditional probability: $$ P(A|B) = \frac{P(B|A)P(A)}{P(B)} $$ So if you ...
Jens Classen's user avatar
3 votes

Why isn't conditional probability sufficient to describe causality?

But the conditional probability is clearly not symmetric and captures directed relationships. One needs to consider the kinds of directed relationships that is captured by conditional probability. It ...
naive's user avatar
  • 699
3 votes

Doesn't every single machine learning classifier use conditional probability/Bayes in its underlying assumptions?

Conditional probability and Bayes rule are related but they are not the same thing, you can predict conditional probabilities without using Bayes rule. So no, not all machine learning classifiers use ...
Dr. Snoopy's user avatar
  • 1,355
2 votes
Accepted

Solving the supervised learning problem of learning $p(y \vert \mathbf{x})$ by using traditional unsupervised technologies to learn $p(\mathbf{x}, y)$

This is the definition of conditional probability + Total probability decomposition formula: $p(y|x) = \frac{p(y,x}{p(x)} = \frac{p(x,y)}{\sum_{y'}p(x,y')}$. The idea is to use some unsupervised ...
hola's user avatar
  • 381
2 votes

Doesn't every single machine learning classifier use conditional probability/Bayes in its underlying assumptions?

Probability is one way to solve classification problems. Still, there are other ways like clustering and K nearest neighbor approach where we tend to analyze the position of the current data point and ...
oseekero's user avatar
1 vote

What to do when PDFs are not Gaussian/Normal in Naive Bayes Classifier

The relationship between the axes of graph (1) and your variables $x$ and $y$ is not clear, so this generalized answer may be helpful or useless. From graph (1) it appears that the correlation ...
Douglas Daseeco's user avatar

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