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Compute the growth function of a hypothesis set H ( N ) ( referring to week 4 ' s slide page 2 5 ) in

Compute the growth function of a hypothesis set H(N)(referring to week 4's slide page 25) in each of
the following cases.
(1) Positive rays: H consists of all hypotheses h:R{-1,+1} of the form h(x)=sign(x-a), i.e., the
hypotheses are defined in a one-dimensional input space, and they return -1 to the left of some value a
and +1 to the right of a. The illustration is as follows,
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FUNDAMENTALS OF MACHINE LEARNING
Hint: When N=2, there are three different dichotomies according to its definition, see figure below:
Positive rays:
(1)
(2)
(3)
N=2
so H(2)=3.
(2) Positive intervals: H consists of all hypotheses that return +1 with some interval and -1 otherwise.
Each hypothesis is specified by the two end values of that interval. The illustration is as follows,
Hint: When N=3, there are seven different dichotomies according to its definition, see the figure below:
Positive intervals:
image text in transcribed

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