206 search results - page 11 / 42 » Boosting Kernel Models for Regression |
NIPS
2001
14 years 11 months ago
2001
We derive an equivalence between AdaBoost and the dual of a convex optimization problem, showing that the only difference between minimizing the exponential loss used by AdaBoost ...
JMLR
2002
14 years 9 months ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
ICMCS
2007
IEEE
15 years 4 months ago
2007
IEEE
Typical music emotion classification (MEC) approaches categorize emotions and apply pattern recognition methods to train a classifier. However, categorized emotions are too ambigu...
HAIS
2010
Springer
14 years 12 months ago
2010
Springer
Electric grids are moving from a centralized single supply chain towards a decentralized bidirectional grid of suppliers and consumers in an uncertain and dynamic scenario. Soon, t...
CDC
2009
IEEE
15 years 1 months ago
2009
IEEE
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...