Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Card is a class that contains properties that are found on your everyday playing card, i.e. rank and suit. CardCollection is a class used to construct various types of card collections. For example, ...
Abstract: Pseudo-random binary sequence (PRBS) has been used for internal impedance identification and shown to be faster and easier to implement than analogue multiple frequency signals. To implement ...
It has been proposed by E. Gelenbe in 1989. A Random Neural Network is a compose of Random Neurons and Spikes that circulates through the network. According to this model, each neuron has a positive ...
Today I brushed off my painting skills and followed a Christmas and winter-themed Bob Ross painting tutorial. The only problem is I'm not a great painter, and to put myself at even more of a ...
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