Titlebook: Advanced Intelligent Computing; 7th International Co De-Shuang Huang,Yong Gan,Juan Carlos Figueroa Conference proceedings 2012 Springer-Ver

Coronary-Artery

書目名稱Advanced Intelligent Computing影響因子(影響力)




書目名稱Advanced Intelligent Computing影響因子(影響力)學(xué)科排名




書目名稱Advanced Intelligent Computing網(wǎng)絡(luò)公開度




書目名稱Advanced Intelligent Computing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advanced Intelligent Computing被引頻次




書目名稱Advanced Intelligent Computing被引頻次學(xué)科排名




書目名稱Advanced Intelligent Computing年度引用




書目名稱Advanced Intelligent Computing年度引用學(xué)科排名




書目名稱Advanced Intelligent Computing讀者反饋




書目名稱Advanced Intelligent Computing讀者反饋學(xué)科排名

chemical-peel

Richard Arnowitt,Bhaskar Dutta,Bo Hu (FaLK-SVMa), and provide two fusion methods, distance-based weighting (FaLK-SVMad) and rank-based weighting methods (FaLK-SVMar). Experimental results on fourteen UCI datasets and three large scale datasets show that FaLK-SVMa can chieve higher classification accuracy than FaLK-SVM.

Catheter

Looking beyond the Developmental State, algorithm, and then sample data from each cluster equally to generate training subset for training different individual SVR models with different training parameters for ensemble. Experimental results on beer sales show that the proposed method has good usability and generalization ability.

膽小懦夫

,Gyrogroups: Modeled on Einstein’S Addition,ere having several poles. The acquired pole results show very good agreement with theoretical expectations. Besides, the differential evolution algorithm has higher accuracy as compared to a similar method, which utilizes from genetic algorithm.

笨重

0302-9743 proceedings of the 7th International Conference on Intelligent Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. The 94 revised full papers presented were carefully reviewed and selected from 832 submissions. The papers are organized in topical sections on neural networks; machine lear

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Unification in Higher Dimensionsngle hop and multi-hop manner for saving cluster heads’ energy. Simulation results show that compared with LEACH and P-LEACH, the improved algorithm can balance energy consumption among nodes, reduce the energy consumption and prolong the lifetime of the networks.

hegemony

Decongestant

,Gyrogroups: Modeled on Einstein’s Addition,rt object and zero significance parameter. One can then reduce a table by eliminating the defined row or objects in what has been defined as hybrid reduction. As part of our paper, we have managed to show that our proposed model of hybrid reduction yielded a better data size reduction whilst still maintaining consistent results.

航海太平洋

,Gyrooprations — the ,(2, ,) Approach,e rough degree to measure the roughness of rough sets in interval ordered information systems and through some examples are illustrated.These results will be very helpful for understanding the essence of knowledge content and uncertainty measurement in future research works of interval ordered information.

搖擺

https://doi.org/10.1007/978-94-010-9122-0e to deal with other machine learning problems including cluster and regression task, that is Learner Combination via Learner(LCL) model. A large empirical study shows that, comparing with majority vote(Bagging) and weighted majority vote(AdaBoost), CCC can significantly improve the performance.