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Sharing 15 misc 1 Learning Notes 47 Diary 12 Reading Summary 4 Literature 2
CN11 Model selection CN11 Model selection
Objectives how information theoretic concepts can be used to solve the overfitting problem in community detection. only
2019-08-08 Learning Notes
Graph Complex System
CN10 Statistical Inference CN10 Statistical Inference
Objectives use ensemble perspective on complex networks focus on community detection. Questions what is the difference
2019-08-05 Learning Notes
Graph Complex System
CN9 Spectral properties CN9 Spectral properties
Objective how does the topology of a network influence diffusion speed? how fast the stationary distribution can be reac
2019-07-31 Learning Notes
Graph Complex System
CN8 Random Walks and Diffusion CN8 Random Walks and Diffusion
Objectives topology’s influence on dynamical process model and analyze diffusion process in complex networks. random wal
2019-07-30 Learning Notes
Graph Complex System
CIL9 Dictionary Learning CIL9 Dictionary Learning
Compressive SensingMotivationCompress data while gathering. This will save a lot of storage memory. The problem is we al
2019-07-25 Learning Notes
Machine Learning
CN7 Scale-Free Network and limitations of Ensemble Studies CN7 Scale-Free Network and limitations of Ensemble Studies
Objectives analyzing robustness with generating functions robustness of scale-free network limitations of ensemble-based
2019-07-23 Learning Notes
Graph Complex System
CIL8 Sparse Coding CIL8 Sparse Coding
Sparse CodingEncode an entity by fewer digits. What we need: a dictionary to encoding and the input signal. We will retu
2019-07-22 Learning Notes
Machine Learning
CN6 Generating function applications CN6 Generating function applications
Aims friendship paradox and sampling in networks emergence of a giant connected component molloy-reed criterion in rando
2019-07-19 Learning Notes
Graph Complex System
CIL7 Generative Models CIL7 Generative Models
Generative Models generate what? according to given data, generate new data like them. methods? variational autoencode
2019-07-18 Learning Notes
Machine Learning
CN5 Generating function CN5 Generating function
Aims make statements about the properties of a network if we only know the degree distribution properties of generating
2019-07-17 Learning Notes
Graph Complex System
CIL6 Neural Network CIL6 Neural Network
Composition layer neurons/units input weight activation function output $x^{(l)}=\sigma^{(l)}(W^{(l)}x^{(l-1)})$​ n
2019-07-17 Learning Notes
Machine Learning
CN4 Small-world networks CN4 Small-world networks
Aims learn what is the small-world network: small diameter and large clustering coefficient. learn how to generate such
2019-07-16 Learning Notes
Graph Complex System
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