2898 search results - page 468 / 580 » Ensemble Methods in Machine Learning |
113
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ACCV
2009
Springer
15 years 10 months ago
2009
Springer
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
129
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PRIB
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
163
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IJCNN
2008
IEEE
15 years 10 months ago
2008
IEEE
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
128
Voted
ACRI
2008
Springer
15 years 9 months ago
2008
Springer
This paper presents a research in the context of pedestrian dynamics according to Situated Cellular Agent (SCA), a Multi-Agent Systems approach whose roots are on Cellular Automata...
117
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CEC
2007
IEEE
15 years 9 months ago
2007
IEEE
— Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimizat...