Add to ORKGAbstract—In this paper, we give and prove lower bounds of the VC-dimension of the rule set hypothesis class where the input features are binary or continuous. The VC-dimension of the rule set depends on the VC-dimension values of its rules and the number of inputs. Index Terms—VC-Dimension, Rule sets I
We study set systems over the vertex set (or edge set) of some graph that are induced by special gra...
AbstractWe generalize the classical notion of Vapnik–Chernovenkis (VC) dimension to ordinal VC-dimen...
A proof that a concept is learnable provided the Vapnik-Chervonenkis dimension is finite is given. T...
In this paper, we give and prove lower bounds of the VC-dimension of the rule set hypothesis class w...
International audienceThe VC-dimension of a set system is a way to capture its complexity and has be...
In this paper, we give and prove lower bounds of the VC-dimension of the univariate decision tree hy...
We examine the relationship between the VC-dimension and the number of parameters of a smoothly para...
We show that the Vapnik-Chervonenkis dimension of Boolean monomials over n variables is at most n fo...
Lecture Notes in Artificial Intelligence 744, 279-287, 1993The Vapnik-Chervonenkis (VC) dimension is...
The Vapnik-Chervonenkis (VC) dimension is used to measure the complexity of a function class and pla...
We propose an exhaustive search algorithm that calculates the VC-dimension of univariate decision tr...
We study set systems over the vertex set (or edge set) of some graph that are induced by special gra...
A product unit is a formal neuron that multiplies its input values instead of summing them. Further...
We generalize the classical notion of Vapnik–Chernovenkis (VC) dimension to ordinal VC-dimension, in...
We study set systems over the vertex set (or edge set) of some graph that are induced by special gra...
We study set systems over the vertex set (or edge set) of some graph that are induced by special gra...
AbstractWe generalize the classical notion of Vapnik–Chernovenkis (VC) dimension to ordinal VC-dimen...
A proof that a concept is learnable provided the Vapnik-Chervonenkis dimension is finite is given. T...
In this paper, we give and prove lower bounds of the VC-dimension of the rule set hypothesis class w...
International audienceThe VC-dimension of a set system is a way to capture its complexity and has be...
In this paper, we give and prove lower bounds of the VC-dimension of the univariate decision tree hy...
We examine the relationship between the VC-dimension and the number of parameters of a smoothly para...
We show that the Vapnik-Chervonenkis dimension of Boolean monomials over n variables is at most n fo...
Lecture Notes in Artificial Intelligence 744, 279-287, 1993The Vapnik-Chervonenkis (VC) dimension is...
The Vapnik-Chervonenkis (VC) dimension is used to measure the complexity of a function class and pla...
We propose an exhaustive search algorithm that calculates the VC-dimension of univariate decision tr...
We study set systems over the vertex set (or edge set) of some graph that are induced by special gra...
A product unit is a formal neuron that multiplies its input values instead of summing them. Further...
We generalize the classical notion of Vapnik–Chernovenkis (VC) dimension to ordinal VC-dimension, in...
We study set systems over the vertex set (or edge set) of some graph that are induced by special gra...
We study set systems over the vertex set (or edge set) of some graph that are induced by special gra...
AbstractWe generalize the classical notion of Vapnik–Chernovenkis (VC) dimension to ordinal VC-dimen...
A proof that a concept is learnable provided the Vapnik-Chervonenkis dimension is finite is given. T...