670 search results - page 1 / 134 » Intractability and clustering with constraints |
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Clustering with constraints is a developing area of machine learning. Various papers have used constraints to enforce particular clusterings, seed clustering algorithms and even l...
DATAMINE
2007
13 years 4 months ago
2007
Recent work has looked at extending clustering algorithms with instance level must-link (ML) and cannot-link (CL) background information. Our work introduces δ and ǫ cluster lev...
NIPS
2007
13 years 6 months ago
2007
The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
WADS
1997
Springer
13 years 8 months ago
1997
Springer
We consider the problem of removing a given disk from a collection of unit disks in the plane. At each step, we allow a disk to be removed by a collision-free translation to infin...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
While discriminative training (e.g., CRF, structural SVM) holds much promise for machine translation, image segmentation, and clustering, the complex inference these applications ...