| rfvbm {BoltzMM} | R Documentation |
Random data generation from a fully-visible Boltzmann machine.
Description
Generate N random strings of n>1 binary spin variables (i.e. each element is -1 or 1) arising from a fully-visible Boltzmann machine with some specified bias vector and interaction matrix.
Usage
rfvbm(num, bvec, Mmat)
Arguments
num |
Number N of random strings to be generated. |
bvec |
Vector of length n containing real valued bias parameters. |
Mmat |
Symmetric n by n matrix, with zeros along the diagonal, containing the interaction parameters. |
Value
An N by n matrix, where each row contains a random spin variable string from a fully-visible Boltzmann machine with bias vector bvec and interaction matrix Mmat.
Note
The function allpfvbm must be called each time this function is run. Thus, it is much more efficient to generate N strings all at once, than to generate strings one at a time.
Author(s)
Andrew T. Jones and Hien D. Nguyen
References
H.D. Nguyen and I.A. Wood (2016), Asymptotic normality of the maximum pseudolikelihood estimator for fully-visible Boltzmann machines, IEEE Transactions on Neural Networks and Learning Systems, vol. 27, pp. 897-902.
Examples
# Generate num=10 random strings of n=3 binary spin variables under bvec and Mmat.
num <- 10
bvec <- c(0,0.5,0.25)
Mmat <- matrix(0.1,3,3) - diag(0.1,3,3)
rfvbm(num,bvec,Mmat)