Parameter-space studies involve running a single application several times with different parameter sets. Since the jobs are mutually independent, many computing resources can be r...
Anand Natrajan, Marty A. Humphrey, Andrew S. Grims...
Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward...
Setting up a simulation model is more than writing down state equations and running them on a computer. A lot of conceptual information about the physics and engineering aspects o...
Arno Breunese, Jan L. Top, Jan F. Broenink, J. M. ...
This paper studies the effect of covariance regularization for classific ation of high-dimensional data. This is done by fitting a mixture of Gaussians with a regularized covaria...
Daniel L. Elliott, Charles W. Anderson, Michael Ki...
This work was proposed as a Doctoral Thesis of Applied Computing Course at Brazilian National Institute for Space Research (INPE) and is a ongoing work. The main purpose of SICSDA ...