196 search results - page 15 / 40 » Optimization via Parameter Mapping with Genetic Programming |
ACML
2009
Springer
14 years 18 days ago
2009
Springer
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
Abstract. In this paper we present a new approach for establishing correspondences between sparse image features related by an unknown non-rigid mapping and corrupted by clutter an...
ICTAI
2009
IEEE
13 years 6 months ago
2009
IEEE
This paper studies an evolutionary multiobjective optimization algorithm, called EVOLT, which heuristically optimizes QoS (quality of service) in communication networks for electr...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...