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PAMI
2006
114views more  PAMI 2006»
15 years 6 months ago
Nonparametric Supervised Learning by Linear Interpolation with Maximum Entropy
Nonparametric neighborhood methods for learning entail estimation of class conditional probabilities based on relative frequencies of samples that are "near-neighbors" of...
Maya R. Gupta, Robert M. Gray, Richard A. Olshen
AUTOMATICA
2002
104views more  AUTOMATICA 2002»
15 years 6 months ago
Who needs QP for linear MPC anyway?
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...
CGF
2004
145views more  CGF 2004»
15 years 6 months ago
The State of the Art in Flow Visualization: Dense and Texture-Based Techniques
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,...
CSDA
2004
81views more  CSDA 2004»
15 years 6 months ago
A note on split selection bias in classification trees
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...
Y.-S. Shih
NECO
2007
95views more  NECO 2007»
15 years 6 months ago
Support Vector Ordinal Regression
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...
Wei Chu, S. Sathiya Keerthi