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» Boosting Kernel Models for Regression
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IJCAI
2007
15 years 5 months ago
Kernel Carpentry for Online Regression Using Randomly Varying Coefficient Model
Narayanan U. Edakunni, Stefan Schaal, Sethu Vijaya...
128
Voted
EUROGP
2001
Springer
105views Optimization» more  EUROGP 2001»
15 years 8 months ago
Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems
Abstract. In this paper we continue our study on adaptive genetic programming. We use Stepwise Adaptation of Weights (saw) to boost performance of a genetic programming algorithm o...
Jeroen Eggermont, Jano I. van Hemert
160
Voted
ICPR
2010
IEEE
15 years 1 months ago
Multiple Kernel Learning with High Order Kernels
Previous Multiple Kernel Learning approaches (MKL) employ different kernels by their linear combination. Though some improvements have been achieved over methods using single kerne...
Shuhui Wang, Shuqiang Jiang, Qingming Huang, Qi Ti...
122
Voted
JMLR
2010
152views more  JMLR 2010»
14 years 10 months ago
Bayesian Generalized Kernel Models
We propose a fully Bayesian approach for generalized kernel models (GKMs), which are extensions of generalized linear models in the feature space induced by a reproducing kernel. ...
Zhihua Zhang, Guang Dai, Donghui Wang, Michael I. ...