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» Boosting Methods for Regression
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TALIP
2008
62views more  TALIP 2008»
13 years 7 months ago
Boosting Chinese Question Answering with Two Lightweight Methods: ABSPs and SCO-QAT
Cheng-Wei Lee, Min-Yuh Day, Cheng-Lung Sung, Yi-Hs...
AMAI
1998
Springer
13 years 7 months ago
Boosting Complete Techniques Thanks to Local Search Methods
Bertrand Mazure, Lakhdar Sais, Éric Gr&eacu...
ICML
2008
IEEE
14 years 8 months ago
Non-parametric policy gradients: a unified treatment of propositional and relational domains
Policy gradient approaches are a powerful instrument for learning how to interact with the environment. Existing approaches have focused on propositional and continuous domains on...
Kristian Kersting, Kurt Driessens
CVPR
2008
IEEE
14 years 9 months ago
Boosting adaptive linear weak classifiers for online learning and tracking
Online boosting methods have recently been used successfully for tracking, background subtraction etc. Conventional online boosting algorithms emphasize on interchanging new weak ...
Toufiq Parag, Fatih Porikli, Ahmed M. Elgammal
ICIP
2006
IEEE
14 years 9 months ago
Estimating Illumination Chromaticity via Kernel Regression
We propose a simple nonparametric linear regression tool, known as kernel regression (KR), to estimate the illumination chromaticity. We design a Gaussian kernel whose bandwidth i...
Vivek Agarwal, Andrei V. Gribok, Andreas Koschan, ...