1
Q
Structural Risk Minimization
A
2
Q
VC dimension
A
- maximum number of data points the the function can allways shatter (classify in any possible way)
- n dimensions: VC-D = n+1
Machine Learning 1
flashcards
Decks in class (12)
# Cards
-
Bayesian Decision Theory4
-
Parameter Estimation3
-
Principal Component Analysis7
-
Clustering & EM9
-
Fisher Discriminant & Classification1
-
Model Selection8
-
Learning Theory & Kernel Methods2
-
Decision Trees and Random Forest8
-
Support Vector Machines1
-
Neural Networks6
-
Boosting3
-
Unsupervised Neural Networks1
