crdrn
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16 Questions
1
votes
1
answers
319
views
Comparing against the trivial classifier?
0
votes
1
answers
362
views
Statistical method for calculating a smooth path/distance between points in a non-convex cluster
0
votes
0
answers
280
views
Randomly removing a nuisance signal with MAP
0
votes
2
answers
510
views
Algorithms similar to SFA for time series analysis
1
votes
2
answers
776
views
Better to train logistic regression on Binary Classification or Probabilities
0
votes
2
answers
590
views
Data at multiple scales
1
votes
2
answers
597
views
Measuring dataset abnormality
0
votes
4
answers
809
views
Application of machine learning to fMRI/EEG data?
1
votes
2
answers
369
views
Variance of initialization higher than comparison difference
0
votes
1
answers
475
views
Regression for neural networks
0
votes
3
answers
795
views
Definition of a hyperparameter
0
votes
2
answers
755
views
Learning from samples relative to the other samples in the training set
1
votes
3
answers
1k
views
What is the advantage of creating quantiles in datasets?
1
votes
3
answers
882
views
Are there any well-known databases to test clustering on?
1
votes
1
answers
710
views
Promising methods for defining network topology?
9 Answers
19 Votes
18
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1
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50 Tags
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neural
× 8 networks × 7 clustering × 7 gradient × 6 hessian × 6 backpropagation × 6 classifier × 6 descent × 6 machine-learning × 6 newton-raphson × 6 |
dataset
× 6 svm × 5 neuroscience × 4 feature × 4 applications × 4 brain × 4 time-series × 4 performance × 4 score × 4 sfa × 4 |
neuron
× 4 analysis × 4 ica × 4 fmri × 4 data × 3 self-organizing-maps × 3 datasets × 3 noisy × 3 regression × 3 hyperparameters × 3 |
variance
× 2 learning × 2 training × 2 map × 2 high × 2 connectivism × 2 dimensional × 2 results × 2 interpolation × 2 pdp × 2 |
logistic
× 2 unsupervised × 2 kmeans × 1 conferences × 1 deep-learning × 1 data-collection × 1 big-picture × 1 likelihood × 1 kernel × 1 mapping × 1 |
12 Kudos
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● Well-Known Question × 16 ● Prominent Question × 16 ● Conspicuous Question × 15 ● Appreciated Answer × 3 ● Pronouncement × 1 ● Appreciated Question × 1 |
● Prized Question × 1 ● Advocate × 1 ● Guide × 1 ● Blue Pencil × 1 ● Inquisitive × 1 ● Participant × 1 |