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Interdisciplinary Studies Of Complex Network And Machine Learning And Its Applications, Shaojun Luo
Interdisciplinary Studies Of Complex Network And Machine Learning And Its Applications, Shaojun Luo
Dissertations, Theses, and Capstone Projects
In this dissertation, we introduce the concept of network-based statistical inference methods of two types: network structure inference and variable inference. For network structure inference, we introduce correlation matrix, graphical Lasso, network clustering and identify the influencer in the network. For variable inference, we also introduce from Bayesian network, to Random Markov Field and Ising Model, Boltzmann and Restricted Boltzmann machine and the algorithm of Belief Propagation. Last but not the least, we introduce the most widely used neural network family and its two main types: Convolutional Neural Network and Recurrent Neural Network.
In Chapter 3 we provide an example …