Nonparametric neighborhood methods for learning entail estimation of class conditional probabilities based on relative frequencies of samples that are "near-neighbors" of...
Conventional MPC uses quadratic programming (QP) to minimise, on-line, a cost over n linearly constrained control moves. However, stability constraints often require the use of la...
Basil Kouvaritakis, Mark Cannon, J. Anthony Rossit...
Flow visualization has been a very attractive component of scientific visualization research for a long time. Usually very large multivariate datasets require processing. These da...
Robert S. Laramee, Helwig Hauser, Helmut Doleisch,...
A common approach to split selection in classification trees is to search through all possible splits generated by predictor variables. A splitting criterion is then used to evalu...
In this paper, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define parallel discriminant hyperplanes for the ordinal...