The following pages link to VC dimension of neural networks (Q4250971):
Displaying 9 items.
- Accuracy of approximations of solutions to Fredholm equations by kernel methods (Q433295) (← links)
- On the hardness of learning intersections of two halfspaces (Q619909) (← links)
- Polynomial bounds for VC dimension of sigmoidal and general Pfaffian neural networks (Q676431) (← links)
- PhysicsGP: A genetic programming approach to event selection (Q709703) (← links)
- Randomized approximation algorithms for set multicover problems with applications to reverse engineering of protein and gene networks (Q876471) (← links)
- A comparative analysis of support vector machines and extreme learning machines (Q1941592) (← links)
- The Vapnik-Chervonenkis dimension of graph and recursive neural networks (Q2182896) (← links)
- (Q5381117) (← links)
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review (Q5382481) (← links)
