Active Media Technology: 10th International Conference, AMT by Dominik Slezak, Gerald Schaefer, Son T. Vuong, Yoo-Sung Kim

By Dominik Slezak, Gerald Schaefer, Son T. Vuong, Yoo-Sung Kim

This booklet constitutes the lawsuits of the tenth foreign convention on lively Media know-how, AMT 2014, held in Warsaw, Poland, in August 2014, held as a part of the 2014 internet Intelligence Congress, WIC 2014. The forty seven complete papers provided have been rigorously reviewed and chosen from various submissions. the themes of those papers surround energetic desktops; interactive structures and purposes of AMT-based platforms; energetic media desktop studying and knowledge mining recommendations; AMT for the semantic net; social networks and cognitive foundations.

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We will illustrate the method in the following similar to [5]. Generally, regression transfer method aims to reduce the expected risk in the following: (1) min E(xtr ,ytr )∼Pte l(xtr , ytr , θ) θ where l(xtr , ytr , θ) is the loss function, θ is the unknown parameter which decides the predicted value of xte in test dataset, and (xtr , ytr ) ∼ Pte represents the probability of (xtr , ytr ) according to the test data distribution. Since it is difficult to directly calculate the real distribution of Pte , we compute the empirical risk in the below: min E(x,y)∼Ptr θ ≈ min θ 1 ntr ntr i=1 Pte (xtr , ytr ) l(xtr , ytr , θ) Ptr (xtr , ytr ) Pte (xtr , ytr ) l(xtr , ytr , θ) Ptr (xtr , ytr ) (2) 26 Z.

3, is used to measure the propagation efficiency of different methods. Here, the propagation efficiency means the final total number of infected nodes in a network. vn } Initial infected nodes: top-k nodes Node contraction(NC) Evaluation matrix(EM) PageRamk-based(PR) methods SI Model Selected top-k nodes as initial infeted nodes the final total number of infected nodes LeaderRank-based(LR) HITS-based(HITS) MAF based on the Attribute Union(FU) MAF based on the Attribute Ranking (FR) Fig. 2. The process of experiment Table 3.

5) and Eq. (6) respectively. Pk = Pk ∪ P1 , k ≤ k , k = k + k1 ; Pk ∩ P¯2 , k > k , k = k + k1 ; (4) / Pk , vi ∈ Pjk } P1 = {vi |vi ∈ P, vi ∈ (5) P2 = {vi |vi ∈ P, vi ∈ Pk } (6) Table 1. The top-10 nodes implemented by different methods in the Enron email network G6 Ranking 1 2 3 4 5 6 7 8 9 10 DC v30 v5 v1 v15 v110 v77 v103 v51 v28 v41 BC v30 v110 v137 v1 v5 v200 v21 v103 v15 v343 CN v30 v137 v5 v154 v175 v132 v149 v1 v15 v111 EM v137 v154 v111 v175 v171 v132 v149 v153 v180 v112 KS v1 v5 v15 v21 v26 v28 v29 v30 v37 v41 PR v30 v110 v5 v103 v1 v15 v28 v51 v100 v77 HITS v137 v154 v111 v175 v171 v149 v132 v180 v112 v176 LR v30 v5 v1 v15 v110 v77 v103 v51 v28 v41 Taking the Enron email network1 which is introduced in Sec.

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