| 摘要: |
| 通过重新定义全局误差函数,提出了一种基于神经网络的多示例回归算法,并在基准数据集上对该算法进行了测试,取得了较好的效果. |
| 关键词: 多示例学习 多示例回归 机器学习 神经网络 神经网络集成 |
| DOI： |
| 分类号: |
| 基金项目:Supported by the National Natural Science Foundation of China under Grant No.60105004 (国家自然科学基金); the Natural Science Foundation of Jiangsu Province of China under Grant No.BK2001406 (江苏省自然科学基金) |
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| A Multi-Instance Regression Algorithm Based on Neural Network |
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ZHANG Min-Ling,ZHOU Zhi-Hua
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| Abstract: |
| Through employing a new error function capturing the nature of multi-instance learning, a neural network based multi-instance regression algorithm is presented in this paper. Experiments on benchmark data sets show that this algorithm deals well with the multi-instance regression problems. |
| Key words: multi-instance learning multi-instance regression machine learning neural network neural network ensemble |
