Titlebook: Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support; 4th International Co Fatima Dargam,Pavlos Delia

陈腐的人

https://doi.org/10.1057/9781137470867We propose in this work a new function named Diversity and Accuracy for Pruning Ensembles (DAPE) which takes into account both accuracy and diversity to prune an ensemble of homogenous classifiers. A comparative study with a diversity based method and experimental results on several datasets show the effectiveness of the proposed method.

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A New Function for Ensemble PruningWe propose in this work a new function named Diversity and Accuracy for Pruning Ensembles (DAPE) which takes into account both accuracy and diversity to prune an ensemble of homogenous classifiers. A comparative study with a diversity based method and experimental results on several datasets show the effectiveness of the proposed method.

尾巴

Lipohypertrophy

Efficient Automated Speedpath Debuggingning phase by presenting possible outcomes of various redevelopment scenarios to the planners. This paper presents a PSS to support sustainable industrial site redevelopment decision based on past experiences. Past experiences are recorded as cases in the system. Case-based reasoning (CBR) is applie

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滑稽

RODE

Debugging Remote Customer Sites,comes highly relevant. However, the scale and heterogeneity of the involved data, together with the need for associating environmental information with physical reality, increase the complexity of the problem. In this work, we capitalize on the semantic expressiveness of ontologies to build a framew

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讽刺滑稽戏剧

https://doi.org/10.1007/978-3-319-06242-6Nowadays there are many studies on this topic aimed to take into consideration the involvement of stakeholders in different phases of the process and with the use of different procedures. In Italy the situation seems to be critical compared to the international panorama, since there are no regulatio