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An approach for software flexibility measurement and measurement indexes based on BP neural network were proposed. By using the self-organizing, self-learning and self- adapting properties of BP neural networks, the rule of software flexibility measurement indexes weight concealed in the training data could be learned by means of BP neural networks automatically adjust indexes weight of measurement...
Mislabeling unlabeled data during the learning process is an inevitable problem for the co-training style semi-supervised learning. In this paper, the participatory learning cognition paradigm is instantiated through employing the data editing as acceptance unit and designing an arousal strategy of data editing as critic unit. Then, this participatory learning is equipped into each individual classifier...
Multiple-instance learning is a special machine learning algorithm between supervised learning and unsupervised learning, which has been used in medicine design, image retrieval and other research fields, and attained good performance. Diverse Density (DD) algorithm is a typical multiple- instance learning method. Due to the character of sparse positive instances, when classifying the bags which include...
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