2326 search results - page 165 / 466 » Optimization on Support Vector Machines |
SEAL
1998
Springer
15 years 2 months ago
1998
Springer
Most of the obstacle avoidance techniques do not consider the robot orientation or its nal angle at the target position. These techniques deal with the robot position only and are ...
ICCS
2001
Springer
15 years 2 months ago
2001
Springer
Abstract. Sparse matrix-vector multiplication is an important computational kernel that tends to perform poorly on modern processors, largely because of its high ratio of memory op...
APPROX
2008
Springer
15 years 9 days ago
2008
Springer
In the field of robust optimization, the goal is to provide solutions to combinatorial problems that hedge against variations of the numerical parameters. This constitutes an effor...
JMLR
2008
14 years 10 months ago
2008
Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classi...
TIT
2002
14 years 10 months ago
2002
Abstract--The Lagrangian formulation of variable-rate vector quantization is known to yield useful necessary conditions for quantizer optimality and generalized Lloyd algorithms fo...