A Bayesian Regularized Neural Network for Analyzing Bitcoin Trends

A Faster Bitcoin Network

Bitcoin is an electronic currency based on a peer-to-peer network for the propagation and verification of the transactions. Nowadays, cashless transactions are becoming increasingly popular and bitcoin could be an established currency for such transactions. Its distributed nature, though, and more specifically the delay overhead in transaction verification, not only makes the use of bitcoin ine...

Bayesian Input Selection for Neural Network Classiiers 1 Bayesian Input Selection for Neural Network Classiiers

In this paper we discuss the use of the Bayesian posterior probability distribution over weight space and Receiver Operating Characteristic curves in a neural network input selection algorithm. The a posteriori distribution is obtained by combining the likelihood function based on training data and a prior distribution based on expert knowledge. To numerically calculate the marginalization, Mar...

Generalization Performance of Regularized Neural Network Models

Architecture optimization is a fundamental problem of neural network modeling. The optimal architecture is defined as the one which minimizes the generalization error. This paper addresses estimation of the generalization performance of regularized, complete neural network models. Regularization normally improves the generalization performance by restricting the model complexity. A formula for ...

Nuclear Norm Regularized Randomized Neural Network

A Bayesian Neural Network Model with Extensions a Bayesian Neural Network Model with Extensions

This report deals with a Bayesian neural network in a classiier context. In our network model, the units represent stochastic events, and the state of the units are related to the probability of these events. The basic Bayesian model is a one-layer neural network, which calculates the posterior probabilities of events, given some observed, independent events. The formulas underlying this networ...