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May 15, 2007 · In this thesis, we narrowed down our focus on cooperation at training level. We first developed measures to estimate the degree and type of ...
To fulfill this objective, we present a cooperative training algorithm to reduce the amount of required training by focusing on the quality of the training. The ...
A second strategy consists in using one or more opinions for better guiding other classifiers in their training stages, and/or to improve the decision-making of ...
Abstract. In this paper, architectures and methods of decision aggregation in classifier ensembles are investigated. Typically, ensembles are designed.
Sep 15, 2022 · We propose a framework to transform a classification problem into a cooperative tiling of the input variable space.
Missing: Training Multiple
... classifiers are trained on the same training set and every classifier is able to provide the classification of the input pattern x. If we consider an M ...
This paper deals with cooperation for virtual reality applications. In a multi-agent system, cooperation between agents is an important element to solve a ...
Missing: Training Multiple
Furthermore, we propose a co-operative training algorithm that allows the final classification to determine whether further training should be carried out on ...
Cooperative Learning of Multi-Agent Systems Via Reinforcement Learning
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Jan 25, 2023 · The current investigation focuses on cooperative learning algorithms for multi-agent systems and underpins an alternate data-based neural network reinforcement ...
Missing: Training Multiple Classifier
A second strategy consists in using one or more opinions for better guiding other classifiers in their training stages, and/or to improve the decision-making of ...