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6 Questions
0
votes
1
answers
738
views
How to deal with feature which is part binary and part continuous
0
votes
1
answers
749
views
Does it make sense to minimize negative log likelihood on SVC probability outputs
0
votes
2
answers
1k
views
What is the best way to deal with missing feature data when using SVM?
0
votes
1
answers
1k
views
Best package for kernel logistic regression (KLR) and/or import vector machines
2
votes
3
answers
1k
views
Best SVM package for large data set
1
votes
3
answers
1k
views
Probability output from support vector machine (svm) with soft margin
0 Answers
2 Votes
2
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0
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16 Tags
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support-vector-machines
× 7 svm × 6 probabilistic × 3 probability × 3 svm-software × 3 svmlight × 3 missingvalues × 2 practical-advice × 2 logistic-regression × 1 feature-extraction × 1 |
log-likelihood
× 1 kernel-methods × 1 machine-learning × 1 dataset × 1 crossvalidation × 1 kernel × 1 |
9 Kudos
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● Well-Known Question × 6 ● Conspicuous Question × 6 ● Prominent Question × 6 ● Prized Question × 2 ● Revisionist × 1 ● Inquisitive × 1 |
● Appreciated Question × 1 ● Pronouncement × 1 ● Advocate × 1 |
