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The popularity of SVMs has grown tremendously in the last few years for many different classification problems due to its generalization properties, however training SVMs require high computational power. Platt's SMO is one the fastest algorithm for training support vector machines, which takes the decomposition technique to the extreme by selecting a set of only two points as the working set then...
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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