Titlebook: Handbook on Neural Information Processing; Monica Bianchini,Marco Maggini,Lakhmi C. Jain Book 20131st edition Springer-Verlag Berlin Heide

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书目名称Handbook on Neural Information Processing影响因子(影响力)




书目名称Handbook on Neural Information Processing影响因子(影响力)学科排名




书目名称Handbook on Neural Information Processing网络公开度




书目名称Handbook on Neural Information Processing网络公开度学科排名




书目名称Handbook on Neural Information Processing被引频次




书目名称Handbook on Neural Information Processing被引频次学科排名




书目名称Handbook on Neural Information Processing年度引用




书目名称Handbook on Neural Information Processing年度引用学科排名




书目名称Handbook on Neural Information Processing读者反馈




书目名称Handbook on Neural Information Processing读者反馈学科排名

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Semi-supervised Learning,labeled data to help improve the learning performance has become a hot topic during the last decade and it is divided into four main directions: SSL with graphs, SSL with generative models, semi-supervised support vector machines and SSL by disagreement (SSL with committees). This survey article pro

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姑姑在炫耀

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prosperity

Relevance Feedback in Content-Based Image Retrieval: A Survey,ciency. In the published literature, no comprehensive survey of both short-term learning and long-term learning RF techniques has been conducted. To this end, the goal of this chapter is to address this omission and offer suggestions for future work.

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Learning Structural Representations of Text Documents in Large Document Collections, very large datasets for a classification and a regression problem will show that our approach scales very well. The classification problem will be tackled by the latest in a series of techniques which applied the idea of self organizing map to graph domains. It is shown that with the incorporation