Label Cover Instances with Large Girth and the Hardness of Approximating Basic k-Spanner.
Michael DinitzGuy KortsarzRan RazPublished in: ICALP (1) (2012)
Keyphrases
- single instance
- multi instance learning
- phase transition
- random instances
- randomly generated
- active learning framework
- multi label
- np complete
- graph theory
- np hard
- labeling process
- class labels
- active learning
- neural network
- computational complexity
- test instances
- image labeling
- acyclic conjunctive queries
- multiple labels
- learning theory
- information theoretic
- worst case
- special case
- objective function