Category:Computational learning theory
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Here is a list of articles in the Computational learning theory category of the Computing portal that unifies foundations of mathematics and computations using computers.
Pages in category "Computational learning theory"
The following 22 pages are in this category, out of 22 total.
- 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)