VC dimension
measure of the capacity of a statistical classification algorithm
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VC dimension
Summary
VC dimension is a notion[1]. It has Wikipedia articles in 11 language editions, a strong signal of global cultural recognition.[2]
Key Facts
- VC dimension is credited with the discovery of Vladimir Vapnik[3].
- VC dimension is credited with the discovery of Alexey Chervonenkis[4].
- VC dimension's instance of is recorded as notion[5].
- Vladimir Vapnik is named after VC dimension[6].
- Alexey Chervonenkis is named after VC dimension[7].
- VC dimension's Commons category is recorded as Vapnik-Chervonenkis dimension[8].
- VC dimension's maintained by WikiProject is recorded as WikiProject Mathematics[9].
Body
Designation and Status
VC dimension's instance of is recorded as notion[5].
History and Context
Things named after include Vladimir Vapnik[6], a mathematician[10], b. 1936[11], of Soviet Union[12], awarded the Paris Kanellakis Award[13], specialised in machine learning[14] and Alexey Chervonenkis[7], a mathematician[15], 1938–2014[16], of Soviet Union[17], awarded the USSR State Prize[18], specialised in mathematics[19].
Why It Matters
VC dimension has Wikipedia articles in 11 language editions, a strong signal of global cultural recognition.[2] It is known by 9 alternative names across languages and contexts.[20]