Category:Computational learning theory

• Computational learning theory (computing)

A

• Algorithmic learning theory (computing)

B

• Bondy's theorem (computing)

C

• Concept class (computing)
• Cover's theorem (computing)

D

• Distribution learning theory (computing)

E

• Error tolerance (PAC learning) (computing)

G

• Growth function (computing)

I

• Induction of regular languages (computing)

L

• Language identification in the limit (computing)

O

• Occam learning (computing)

P

• Probably approximately correct learning (computing)

R

• Representer theorem (computing)

S

• Sample exclusion dimension (computing)
• Shattered set (computing)

T

• Teaching dimension (computing)

U

• Unique negative dimension (computing)

V

• Vapnik–Chervonenkis theory (computing)
• Vapnik–Chervonenkis dimension (computing)
• VC dimension (computing)

W

• Win–stay, lose–switch (computing)
• Witness set (computing)