Week 8 (basis function models & Regularisation) Flashcards
(12 cards)
1
Q
Linear basis function model
A
The linearity is of the basis functions’ weights, not the functions themselves
2
Q
Gaussian basis function
A
3
Q
Polynomial basis function
A
4
Q
Sigmoidal basis functions
A
5
Q
Derive likelihood function for linear basis functions
A
6
Q
Derive SSE for linear basis functions
A
7
Q
Least squares for linear basis function
A
8
Q
Geometry of least squares for linear basis function
A
9
Q
Least mean squares algorithm (linear basis functions)
A
10
Q
Regularized least squares and how to minimise (for linear basis function)
A
Where E_W(W) depends on problem specification. (eg in this case it is L2 norm)
11
Q
Generalised regularizer
A
12
Q
Bias Variance decomposition
A
