All Questions
Tagged with nonparametric machine-learning
8
questions
44
votes
4
answers
69k
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What exactly is the difference between a parametric and non-parametric model?
I am confused with the definition of non-parametric model after reading this link Parametric vs Nonparametric Models and Answer comments of my another question.
Originally I thought "parametric vs ...
- 37.2k
37
votes
4
answers
49k
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What is the weak side of decision trees?
Decision trees seems to be a very understandable machine learning method.
Once created it can be easily inspected by a human which is a great advantage in some applications.
What are the practical ...
- 1,412
53
votes
9
answers
3k
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Are all models useless? Is any exact model possible -- or useful?
This question has been festering in my mind for over a month. The February 2015 issue of Amstat News contains an article by Berkeley Professor Mark van der Laan that scolds people for using inexact ...
- 20.8k
3
votes
0
answers
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Parametric vs non-parametric machine learning methods [duplicate]
I looked-up many references and websites and researched on how to determine if a method is between parametric or non-parametric. I came up with below definitions,
A parametric algorithm has a fixed ...
- 195
8
votes
1
answer
1k
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Nonparametric nonlinear regression with prediction uncertainty (besides Gaussian Processes)
What are state-of-the-art alternatives to Gaussian Processes (GP) for nonparametric nonlinear regression with prediction uncertainty, when the size of the training set starts becoming prohibitive for ...
- 5,226
8
votes
2
answers
2k
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Bayesian nonparametric answer to deep learning?
As I understand it, deep neural networks are performing "representation learning" by layering features together. This allows learning very high dimensional structures in the features. Of course, it's ...
- 1,002
1
vote
1
answer
258
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Does a non-parametric model necessarily have zero bias?
For a parametric model like linear regression, the bias is often interpreted as "the parameters & architecture you chose are inappropriate for the shape of this dataset".
For (one ...
- 1,061
1
vote
0
answers
23
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Why is "consistent nearest neighbour" Non-parametric? [duplicate]
Definition of "Consistent nearest neighbour", runs our usual KNN classifier
but instead of viewing k as a hyper-parameter it always sets k = ceil[log(n)].
So far, I looked-up many references and ...
- 195