Complexity of classification problems
โ Scribed by I. V. Sergienko; A. M. Gupal; S. V. Pashko
- Publisher
- Springer US
- Year
- 1996
- Tongue
- English
- Weight
- 650 KB
- Volume
- 32
- Category
- Article
- ISSN
- 1573-8337
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
In the minimum-cost strong network orientation problem (MCSO), we are given an undirected graph G ร (V, E) with nonnegative edge lengths แ(e) and a transportation schedule T ร {(s 1 , t 1 , w 1 ), . . . , (s k , t k , w k )}, where w i units of weight have to be transported from the source vertex s
Stochastic complexity is treated as a tool of classification, i.e., of inferring the number of classes, the class descriptions, and the class memberships for a given data set of binary vectors. The stochastic complexity is evaluated with respect to the family of statistical models defined by finite