VERSION SPACES AND THE CANDIDATE-ELIMINATION ALGORITHM
The key idea in the CANDIDATE-ELIMINATION algorithm is to output a description of the set of all hypotheses consistent with the training examples
Representation
Consistent (h, D) ΒΊ (" Γ‘x, c(x)Γ± Γ D) h(x) = c(x))
Note difference between definitions of consistent and satisfies
- An example x is said to satisfy hypothesis h when h(x) = 1, regardless of whether x is a positive or negative example of the target concept.
- An example x is said to consistent
with hypothesis h iff h(x) = c(x)
H and
training examples D, is the subset of hypotheses from H consistent with the
training examples in D
V SH, D ΒΊ{h Γ H | Consistent (h, D)}
Labels: Machine Learning, Machine Learning Unit-1
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