'Bfgs method' presentation slideshows

Jorge Nocedal Northwestern University With S. Hansen, R. Byrd and Y. Singer IPAM, UCLA, Feb 2014

A Stochastic Quasi-Newton Method for Large-Scale Learning. Jorge Nocedal Northwestern University With S. Hansen, R. Byrd and Y. Singer IPAM, UCLA, Feb 2014. Propose a robust quasi-Newton method that operates in the stochastic approximation regime

517 views • 39 slides

Jorge Nocedal Northwestern University With S. Hansen, R. Byrd and Y. Singer IPAM, UCLA, Feb 2014

A Stochastic Quasi-Newton Method for Large-Scale Learning. Jorge Nocedal Northwestern University With S. Hansen, R. Byrd and Y. Singer IPAM, UCLA, Feb 2014. Propose a robust quasi-Newton method that operates in the stochastic approximation regime

396 views • 39 slides

Accurate Clock Mesh Sizing via Sequential Quadratic Programming

466 views • 26 slides

Hand-written character recognition

Hand-written character recognition. Failure rate for test samples. MNIST: a data set of hand-written digits 60,000 training samples 10,000 test samples Each sample consists of 28 x 28 = 784 pixels Various techniques have been tried Linear classifier: 12.0%

223 views • 13 slides