Users' questions

What is VC dimension of circle?

What is VC dimension of circle?

The VC dimension is the maximum number of points that can be shattered. {(5,2), (5,4), (5,6)} cannot be shattered by circles, but {(5,2), (5,4), (6,6)} can be shattered by circles, so the VC dimension is at least 3.

What is the VC dimension of H?

The VC dimension of a set of hypotheses H is the size of the largest set C ⊆ X such that C is shattered by H. If H can shatter arbitrarily sized sets, its VC dimension is infinite. We now study the VC dimension of some finite classes, more in particular: classes of boolean functions.

What is VC dimension of set of oriented lines?

For example, the VC dimension of a set of oriented lines in R2 is three. In general, the VC dimension of a set of oriented hyperplanes in Rn is n+1. Note: need to find just one set of points. Note: VC dimension is not directly related to number of parameters.

Can VC dimension of H be 3 yes or no?

No, the answer is incorrect: Score: 0 Accepted Answers: 2 points 5) Can VC dimension of H be 3? Let C be the classifier that returns a majority vote of the three classifiers.

Is a higher VC dimension better?

The images shows that a higher VC dimension allows for a lower empirical risk (the error a model makes on the sample data), but also introduces a higher confidence interval. This interval can be seen as the confidence in the model’s ability to generalize.

How do you prove VC dimensions?

under the definition of the VC dimension, in order to prove that VC(H) is at least d, we need to show only that there’s at least one set of size d that H can shatter. shattered by oriented hyperplanes if and only if the position vectors of the remaining points are linearly independent. hyperplanes in Rn is n+1.

How do you get a VC dimension?

If you can find a set of n points, so that it can be shattered by the classifier (i.e. classify all possible 2n labelings correctly) and you cannot find any set of n+1 points that can be shattered (i.e. for any set of n+1 points there is at least one labeling order so that the classifier can not seperate all points …

Can VC dimension be infinite?

The VC dimension is infinite if for all m, there is a set of m examples shattered by H. Usually, one considers a set of points in “general position” and shows that they can be shattered. This avoids issues like collinear points for a linear classifier.

Why is VC dimension important?

VC dimension is useful in formal analysis of learnability, however. This is because VC dimension provides an upper bound on generalization error. So if we have some notion of how many generalization errors are possible, VC dimension gives an indication of how many could be made in any given context.

What does infinite VC dimension mean?

From your linked notes: The VC dimension of H is the size of the largest set of examples that can be shattered by H. The VC dimension is infinite if for all m, there is a set of m examples shattered by H. Usually, one considers a set of points in “general position” and shows that they can be shattered.

What’s the VC dimension of the second circle?

The VC dimension of the second one is actually 3, while that of the first one is 2. Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question.

What do you mean by concentric circles in art?

Vocabulary: Concentric Circles – circles that are on top of each other, changing in size as you draw another but always having the same center axis. 3. Show students your sample and explain what you did to create it.

Why is the VC dimension of an origin centered circle 1?

It seems to me that the VC dimension of an origin centered circle should be 1, because for two points with distances from the origin r1 <= r2, r2 will never be able to be labeled 1 without r1 also being labeled 1, so the r1 = 0, r2 = 1 labeling could never be possible.

Why did Sergei Kandinsky paint squares with concentric circles?

Kandinsky “Squares with Concentric Circles”. Kandinsky was one of the first artists who painted purely ABSTRACT works of art, meaning he abandoned any reference to recognizable reality in his work. He thought of doing this one day by accident: he went into his art studio as the sun was going down and noticed a painting on the easel.