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Results tagged with machine-learning
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user 24175
Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.
1
vote
Accepted
What to do against sampling/selection bias?
Weighting, boosting, re-sampling, balancing are some ideas for unbalanced samples when using Neural Networks.
An idea for PCA+MLPs is found in this paper.
- 1,162
47
votes
Why are neural networks described as black-box models?
A neural network is a black box in the sense that while it can approximate any function, studying its structure won't give you any insights on the structure of the function being approximated.
As an e …
- 1,162
51
votes
Accepted
Class imbalance in Supervised Machine Learning
There are many frameworks and approaches. This is a recurrent issue.
Examples:
Undersampling. Select a subsample of the sets of zeros such that it's size matches the set of ones. There is an obviou …
- 1,162