Overfitting and the presence of noisy labels are significant challenges in the training of machine learning models, particularly in complex datasets. This paper introduces a novel checkpointing method designed to miti...
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In recent years, there has been an energy transition in which fossil fuel-fired power plants are being replaced by renewable energy sources such as photovoltaics. While the influence of factors such as location and me...
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Recent years have seen an increasing interest in providing accurate prediction models for electrical energy consumption. In Smart Grids, energy consumption optimization is critical to enhance power grid reliability, a...
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In this work, we propose the ensemble SVM that solves the problem of missing values of attributes and the imbalanced data phenomenon in the domain of postoperative risk management. Contrary to the other approaches the...
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The management of university web sites is becoming more critical than before due to the rapid growth of the population dep.ndent on the world wide web as the most important (if not the only) information source. A univ...
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The Internet has emerged to be an effective platform for world universities to share their academic outcomes and to show their influence and contribution via constructing rich and easy-to-access web sites. At the same...
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With the wide acceptance and development of the Internet, it is trend to integrate all of services into Internet. At the same time, the fast development of communication technology that is evolution from narrowband di...
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Following with the advancements in digitization technology and broadband communication technology, real-time video streaming service has become an essential one for next generation Internet. When transmitting compress...
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For automatic or context-aware systems a major issue is user trust, which is to a large extent determined by system reliability. For systems based on sensor input which are inherently uncertain or even uncomplete ther...
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ISBN:
(纸本)1595930892
For automatic or context-aware systems a major issue is user trust, which is to a large extent determined by system reliability. For systems based on sensor input which are inherently uncertain or even uncomplete there is little hope that they will ever be perfectly reliable. In this paper we test the hypothesis if explicitly displaying the current confidence of the system increases the usability of such systems. For the example of a context-aware mobile phone, the experiments show that displaying confidence information increases the user's trust in the system. Copyright 2005 ACM.
In this paper, we propose a method of eye detection based on skin color analysis under varying illumination. The proposed method consists of several phases, including color conversion, skin color segmentation and face...
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