3.3 Growth function of linear combinations. A linearly separable labeling of a set X of vectors in...
Question:
3.3 Growth function of linear combinations. A linearly separable labeling of a set X of vectors in Rd is a classication of X into two sets X+ and X???? with X+ =
fx 2 X: w x > 0g and X???? = fx 2 X: w x < 0g for some w 2 Rd.
Let X = fx1; : : : ; xmg be a subset of Rd.
(a) Let fX+;X????g be a dichotomy of X and let xm+1 2 Rd. Show that fX+ [
fxm+1g;X????g and fX+;X???? [fxm+1gg are linearly separable by a hyperplane going through the origin if and only if fX+;X????g is linearly separable by a hyperplane going through the origin and xm+1.
(b) Let X = fx1; : : : ; xmg be a subset of Rd such that any k-element subset of X with k d is linearly independent. Then, show that the number of linearly separable labelings of X is C(m;
d) = 2 Pd????1 k=0
????m????1 k
. (Hint: prove by induction that C(m + 1;
d) = C(m;
d) + C(m; d ???? 1).
(c) Let f1; : : : ; fp be p functions mapping Rd to R. Dene F as the family of classiers based on linear combinations of these functions:
F =
x 7! sgn
Xp k=1 akfk(x)
: a1; : : : ; ap 2 R
:
Dene by (x) = (f1(x); : : : ; fp(x)). Assume that there exists x1; : : : ; xm 2 Rd such that every p-subset of f (x1); : : : ; (xm)g is linearly independent.
Then, show that
F(m) = 2 Xp????1 i=0
m ???? 1 i
:
Step by Step Answer:
Foundations Of Machine Learning
ISBN: 9780262351362
2nd Edition
Authors: Mehryar Mohri, Afshin Rostamizadeh