N-Gram: Type of probabilistic language model [16,43,46] for predicting the next item in such a sequence in the form of a (n1) order Markov model. An N-gram means a sequence ofNwords. N-gram model is built by counting how often word sequences occur in corpus text and then estimating...
As said, we build on the adjacent possible framework40 to model the exploration of social spaces where individuals are embedded. Within this framework, we microscopically model how the space of possibilities of a node (i.e., the set of all the social interactions that are “possible” for a...
Their proposed Multi-input model includes 3 phases. The first phase represents the first input as an N-gram model of a 3D matrix of 100*8*300 as model input to two-dimensional CNN. On the other hand, the second phase input is one-dimensional CNN model that has a vector with M length...
W. Putting the self into self-conscious emotions: a theoretical model. Psychol. Inq. 15, 103–125 (2004). This theoretical paper provides a comprehensive and in-depth account of the role of self-representation in self-conscious emotions. Google Scholar Tracy, J. L. & Weidman, A. C. ...
The authors also identified the various holes in the security loop of the cloud computing model, suggesting fixes that would make the whole model more secure. Apart from security there are other obstacles in using and implementing cloud services. For example, while the main the advantage of the...
The data model is the family of probability distributions p(y|theta). The likelihood is p(y|theta), considered as a function of theta for the observed data, y. As discussed in chapters 6, 7, and 8 of BDA3, the data model and the likelihood are not the same thing. There can be ...
The approaches about social network analysis are mainly categorized as: agent-based model, theoretical physics approach, and graph theory. Milgram et al. [6] and Watts et al. [7] pioneered the research on small-world. Based on their work, Barabasi et al. [8] found the connection between ...
In Section 7 we showed that offline data should generally be integrated into the model if the ultimate goal is really to have the most accurate prediction performance possible. However, in this paper we focused on “what makes social sensing work” rather than “how to get the best possible ...
Paper organisation Related works Construction of the public opinion supernetwork model Classification of key figures in public opinion based on social network theory Classification and recognition algorithm for key figures based on a public opinion supernetwork Empirical research Conclusion and discussion Data...
Shepherdson P, Oberauer K, Souza AS (2018) Working memory load and the retro-cue effect: a diffusion model account. J Exp Psychol Hum Percept Perform 44(2):286 Article PubMed Google Scholar Shintani N (2016) The effects of computer-mediated synchronous and asynchronous direct corrective feed...