Connecting the Neurons We’ve covered the basic building blocks of neural networks with our look at the mathematical model of an artificial neuron. A single neuron can be used to solve some ...

What is Bayesian statistics? In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in ...

Network meta-analysis allows one to simultaneously estimate relative effectiveness of multiple interventions, and has been described as part of the "next generation tool-kit" for evidence synthesis.

Introduction to Network Protocol. Networks function and flourish because they deliver reliable and fast communication over large distances. And while people often marvel at the speed, it's the ...

Introduction to eigen analysis of networks INSNA Sunbelt XVII San Diego, February 13-17, 1997 William Richards and Andrew Seary, School of Communication, Simon Fraser University, Burnaby, BC Canada ...