Abstract
This study addresses a case involving a mixture of two product distributions over binary vectors. A polynomial time algorithm is given that computes a mixture distribution which is close to the target distribution. The algorithm is efficient both in its sample complexity and its computational complexity.
Original language | English |
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Pages | 53-62 |
Number of pages | 10 |
DOIs | |
State | Published - 1999 |
Externally published | Yes |
Event | Proceedings of the 1999 12th Annual Conference on Computational Learning Theory (COLT'99) - Santa Cruz, CA, USA Duration: 6 Jul 1999 → 9 Jul 1999 |
Conference
Conference | Proceedings of the 1999 12th Annual Conference on Computational Learning Theory (COLT'99) |
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City | Santa Cruz, CA, USA |
Period | 6/07/99 → 9/07/99 |