Network alignment
Protein-Protein Interaction Network Alignment
... Besides PPIs databases, some related databases about protein complexes, pathways and modules are also very important in PPI network alignment. These databases are not only important in protein functions ...
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Adversarial Learning for Weakly-Supervised Social Network Alignment
... social network alignment methods can be roughly categorized into supervised, semi-supervised and unsuper- vised ...work alignment model by linking identities in the latent low dimensional ...
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Seed selection strategy in global network alignment without destroying the entire structures of functional modules
... PPI network analysis across species has been used to understand similarities and differences between species at the systemic level [1,2], in particular, identify conserved protein subnetworks across species that ...
12
Adaptive Large Neighborhood Search Enhances Global Network Alignment
... The proposed algorithm uses the weight adjustment strategy for ALNS, which is as the same as that in [22]. As we mentioned above, the weight of Random Walk are always much lower than that of Worst Removal, and quickly ...
11
Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation
... feature-rich alignment models (Blunsom and Cohn, 2006; Berg-Kirkpatrick et ...neural network to automatically learn features (as we do in this ...neural network-based lexicon and alignment ...
7
Neural Network Alignment for Sentential Paraphrases
... monolingual alignment consists of preci- sion, recall, and F-measure for token pairs – even for phrase-based models – we simply vote on to- ken pairs; each token pair inherits the preliminary alignment ...
12
Application of Multi Network Alignment Algorithms for Connectomes Study
... Figure 1. Building a representative network from experimental data: example of a workflow. Diffusion or functional MRI images are acquired for a subject according to the study to be conducted. The MRIs are used to ...
13
European integration and complementarities driven network alignment: the case of ABB in Central and Eastern Europe
... ABB expansion into CEE is the result of several complementary factors that operated in a mutually favorable manner. In this section we interpret the case study evidence in terms of our heuristics – complementarity driven ...
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Synthesis and Enzymatic Studies of Selenium Derivatized Nucleosides, Nucleotides and Nucleic Acids
... of network topology and the enzymes’ ...metabolic network alignment, which applied feedback vertex set and tree decomposition techniques ...optimal alignment between arbitrary pattern and text ...
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Neural Network based Word Alignment through Score Aggregation
... neural network alignment model trained on unlabeled ...computes alignment scores as dot prod- ucts between representations of windows around source and target ...over alignment scores and ...
8
Scalable Graph-Mining Techniques with Applications to Systems Biology.
... The task of identifying a phenotype-related metabolic system consists of two subtasks: identifying the metabolic system and determining if it is phenotype-related. Determin- ing how a system has been evolutionarily ...
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Contribution of sex and body constitution to three-dimensional lower extremity alignment for healthy, elderly, non-obese humans in a Japanese population
... between alignment and body constitution was evaluated using the Pearson product-moment cor- relation when the data had a normal distribution and using the Spearman’s rank-order correlation when the data did not ...
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Review of Hypothesis Alignment Algorithms for MT System Combination via Confusion Network Decoding
... Combination experiments were performed on (i) Arabic-English, from the informal system combi- nation track of the 2009 NIST Open MT Evalua- tion 4 ; (ii) German-English from the system com- bination evaluation of the ...
9
The dynamics of community innovations : A socio technical analysis of the shaping of The Things Network – an Internet of Things community network
... Things Network became a global ...as-is network, without any guarantees, which has been offline from time to time, with the longest period almost a ...the network, by incorporating it into the ...
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Cross lingual Knowledge Graph Alignment via Graph Matching Neural Network
... ing information throughout the graph. Intuitively, if each node is represented as its own matching state, by design a GCN over the graph (with a suf- ficient number of hops) is able to encode the global matching state ...
6
A review of image-based automatic facial landmark identification techniques
... The accurate identification of landmarks within facial images is an important step in the completion of a number of higher-order computer vision tasks such as facial recognition and facial expression analysis. While ...
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Flow Network Models for Word Alignment and Terminology Extraction from Bilingual Corpora
... Flow Network Models for Word Alignment and Terminology Extraction from Bilingual Corpora F l o w N e t w o r k M o d e l s for Word A l i g n m e n t and T e r m i n o l o g y E x t r a c t i o n from[.] ...
7
Flow Network Models for Word Alignment and Terminology Extraction from Bilingual Corpora
... Such an alignment a can be seen as a particular relation from the set of English words with their positions, including e m p t y words, to the set of French words with their positions, i[r] ...
7
AN OVERVIEW OF TECHNOLOGY EVOLUTION: INVESTIGATING THE FACTORS INFLUENCING NON BITCOINS USERS TO ADOPT BITCOINS AS ONLINE PAYMENT TRANSACTION METHOD
... Currently, there are no methods to clearly determine the structure and composition of the neural network based on description of a problem. We should say that for hard-to-formalize tasks, any one-shot method will ...
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Mapping the progression of non carious cervical lesions
... Method…………………………….……………..……………..………..145 Data acquisition and sampling, Data alignment, Mapping and alignment precision DSMatch - Sequential alignment, Varying grid interval and exclusio[r] ...
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