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Transfer Learning with an Ensemble of Background Tasks
- boosting for transfer learning
Neural-Network-Ensemble
- 神经网络集成，集成了最近几年一些关于神经网络发展的文献，适合深入了解的筒子学习-Neural network integration, integration in recent years some of the literature on the development of neural networks, suitable for in-depth understanding of the cheese learning
ensemble-learning
- 主要讲述深度学习的一篇很有用很有用的论文，是最初提出来的，很好，很有帮助-Focuses on the depth of learning a useful useful papers, initially proposed, very good, very helpful
AOSOLogitBoost_
- ensemble machine learning technique that uses logiboot. ensemble was proved to be of better accuracy than other methods
Ensemble-Classifier-for-Concept-Drift-Data-Stream
- In this era an emerging filed in the data mining is data stream mining. The current research technique of the data stream is classification which mainly focuses on concept drift data. In mining drift data with the single classifier is not sufficient
Maximum-Entropy
- In the distributed processing, where common labeled data may be not available for designing classifier ensemble, however, an ensemble solution is necessary, traditional fixed decision aggregation could not account for class prior mismatch or cl