1104 search results - page 10 / 221 » Ensemble classification based on generalized additive models |
ADBIS
2007
Springer
2007
Springer
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
14 years 2 months ago
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
ICIC
2007
Springer
14 years 2 months ago
2007
Springer
Driven by new regulations and animal welfare, the need to develop in silico models has increased recently as alternative approaches to safety assessment of chemicals without animal...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
Component-based detection methods have demonstrated their promise by integrating a set of part-detectors to deal with large appearance variations of the target. However, an essent...
IJCAI
2003
13 years 10 months ago
2003
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...
AI
2002
Springer
13 years 8 months ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...