Titlebook: Information Sciences and Systems 2013; Proceedings of the 2 Erol Gelenbe,Ricardo Lent Conference proceedings 2013 Springer International Pu

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书目名称Information Sciences and Systems 2013影响因子(影响力)




书目名称Information Sciences and Systems 2013影响因子(影响力)学科排名




书目名称Information Sciences and Systems 2013网络公开度




书目名称Information Sciences and Systems 2013网络公开度学科排名




书目名称Information Sciences and Systems 2013被引频次




书目名称Information Sciences and Systems 2013被引频次学科排名




书目名称Information Sciences and Systems 2013年度引用




书目名称Information Sciences and Systems 2013年度引用学科排名




书目名称Information Sciences and Systems 2013读者反馈




书目名称Information Sciences and Systems 2013读者反馈学科排名

nephritis

Regularizing Soft Decision Trees with the standard decision tree algorithms over 27 classification data sets. We see that both regularized versions have similar generalization ability with less complexity in terms of number of nodes, where . seems to work slightly better than ..

可忽略

Named Entity Recognition in Turkish with Bayesian Learning and Hybrid Approachesll of the proposed three approaches achieve promising performance rates. This paper is significant as it reports the first use of the Bayesian approach for the task of named entity recognition on Turkish texts for which especially practical approaches are still insufficient.

绕着哥哥问

Emotion Analysis on Turkish Textsseveral pruning tasks are applied and new features are constructed in order to improve the emotion classification accuracy. We compared the performance of several classification algorithms for emotion analysis and reported the results.

激怒

积习已深

让步

Optimal Behaviour of Smart Wireless Userse, will introduce additional delay. This is similar to a “vacation time” in queues, though it differs from conventional vacation time models because such “sampling vacations” can be beneficial to the future transmission.

notion

感染

Analogy

Computing Bounds of the MTTF for a Set of Markov Chains. The proposed algorithm is based on the polyhedral theory developed by Courtois and Semal and on a new iterative algorithm which gives bounds of the steady-state distribution of the associated ergodic DTMC at each iteration.