Multiple binary decision tree classifiers
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2023, Engineering Applications of Artificial IntelligenceA survey of multiple classifier systems as hybrid systems
2014, Information FusionCitation Excerpt :Fuser weight selection can be treated as a specific learning process [31,136]. Shlien [150] used Dempster and Shafer’s theory to reach a consensus on the weights to combine decision trees. Wozniak [151] trained the fuser using perceptron-like learning, evolutionary algorithm [152,153].
Shape matching using a binary search tree structure of weak classifiers
2012, Pattern RecognitionCitation Excerpt :Many applications, such as visual surveillance or pedestrian detection systems have real-time constraints, thus the template search speed is vital to the viability of such a system. While binary decision trees have been employed for shape related tasks, these attempts mostly considered shape classification based on the presence or absence of features [25], or feature extraction for classification purposes [2]. A tree of weak classifiers has also been proposed in [8] for a sports pictures classification system.
Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography
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