2436 search results - page 66 / 488 » Evaluating Adaptive Problem Selection |
ECAI
2004
Springer
14 years 2 months ago
2004
Springer
The purpose of this paper is to show that a well known machine learning technique based on Decision Trees can be effectively used to select the best approach (in terms of efficien...
ICANN
2007
Springer
14 years 22 days ago
2007
Springer
Meta-Learning has been used to select algorithms based on the features of the problems being tackled. Each training example in this context, i.e. each meta-example, stores the feat...
GECCO
2003
Springer
14 years 2 months ago
2003
Springer
A parameter-less adaptive penalty scheme for steady-state genetic algorithms applied to constrained optimization problems is proposed. For each constraint, a penalty parameter is a...
MP
2002
13 years 8 months ago
2002
The bounded multiple-class binary knapsack problem is a variant of the knapsack problem where the items are partitioned into classes and the item weights in each class are a multip...
ICIP
2006
IEEE
14 years 10 months ago
2006
IEEE
Active learning methods have been considered with an increased interest in the content-based image retrieval (CBIR) community. Those methods used to be based on classical classifi...