基于神经网络的多示例回归算法

A Multi-Instance Regression Algorithm Based on Neural Network

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.

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.