Login / Signup
A globally convergent algorithm for lasso-penalized mixture of linear regression models.
Luke R. Lloyd-Jones
Hien Duy Nguyen
Geoffrey J. McLachlan
Published in:
Comput. Stat. Data Anal. (2018)
Keyphrases
</>
learning algorithm
worst case
expectation maximization
probabilistic model
optimal solution
k means
neural network
dimensionality reduction
em algorithm
global convergence
constrained optimization
convex hull
logistic regression
simulated annealing
objective function
computer vision
genetic algorithm