2683 search results - page 36 / 537 » Machine learning problems from optimization perspective |
COLT
2000
Springer
14 years 1 months ago
2000
Springer
We investigate the computational complexity of the task of detecting dense regions of an unknown distribution from un-labeled samples of this distribution. We introduce a formal l...
CBMS
2006
IEEE
14 years 3 months ago
2006
IEEE
The growing availability of high throughput measurement devices in the operating room makes possible the collection of a huge amount of data about the state of the patient and the...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...
ALT
2004
Springer
14 years 6 months ago
2004
Springer
The decomposition method is currently one of the major methods for solving the convex quadratic optimization problems being associated with support vector machines. For a special c...
ICPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...