Advanced Intelligent Computing Theories and Applications: by De-Shuang Huang, Kyungsook Han

By De-Shuang Huang, Kyungsook Han

This booklet - along side the double quantity LNCS 9225-9226 - constitutes the refereed court cases of the eleventh overseas convention on clever Computing, ICIC 2015, held in Fuzhou, China, in August 2015.

The eighty four papers of this quantity have been conscientiously reviewed and chosen from 671 submissions. unique contributions relating to this topic have been specifically solicited, together with theories, methodologies, and purposes in technology and expertise. This 12 months, the convention targeted generally on computer studying concept and techniques, smooth computing, photo processing and laptop imaginative and prescient, wisdom discovery and information mining, common language processing and computational linguistics, clever keep an eye on and automation, clever verbal exchange networks and net purposes, bioinformatics thought and techniques, healthcare and clinical tools, and knowledge security.

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Extra info for Advanced Intelligent Computing Theories and Applications: 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015. Proceedings, Part III

Example text

Let 1 b0 2 ð1 À 6ðQÀ1Þ ; 1Þ, so l ¼ kðb0 Þ [ 0 and c ¼ wbe [ 0. This completes the proof of claim 1, Next we continue to prove Theorem 1. 1 Step 1. To choose the auxiliary function gðnÞ ¼ q2 cðnÞ [ 0. from Lemma 1, we 1 know there exists c\0 such that A2 c þ cq2 c ! 0, then qÀ2 A2 c þ cq2 c ! 0; 3 1 1 Lg þ cg ¼ Lðq2 cÞ þ cg ¼ qÀ2 A2 c þ cq2 c ! e. & LgðnÞ þ cgðnÞ ! 0; n 2 X; gðnÞ [ 0; n 2 X: 1 32 Z. Wang and X. Yang Step 2. To construct the function r ¼ ug defined in X, which satisfies the following equation & Lr þ 2gÀ1 rL r Á rL g þ ðLg þ cgÞgÀ1 r !

In view of this, we can the change the average degree of node in order to control the virus in network. 01。 2. The Effects of the Rewiring Probability on Propagation of Virus We consider different value of θ impact on the propagation of virus under the premise of constant incidence and immigration. Data results show that θ is smaller, the longer time which is the disease break to epidemic state required. And with the increase of θ, the epidemic will soon reach endemic disease state. As shown in Fig.

LNCS, vol. 3541, pp. 86–96. Springer, Heidelberg (2005) 24 Z. Chen and J. Ma 24. : Gaussian process segmentation of co-moving animals. Proc. Am. Inst. Phys. 1305(1), 430–437 (2011) 25. : Overlapping mixtures of Gaussian processes for the data association problem. Pattern Recogn. 45(4), 1386–1395 (2012) 26. : An efficient EM approach to parameter learning of the mixture of Gaussian processes. , He, H. ) ISNN 2011, Part II. LNCS, vol. 6676, pp. 165–174. Springer, Heidelberg (2011) 27. : Markov logic mixtures of Gaussian processes: towards machines reading regression data.

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