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» Model Selection and Error Estimation
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PKDD
2009
Springer
148views Data Mining» more  PKDD 2009»
15 years 9 months ago
Feature Selection by Transfer Learning with Linear Regularized Models
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
Thibault Helleputte, Pierre Dupont
114
Voted
COLING
2002
15 years 2 months ago
A Comparative Evaluation of Data-driven Models in Translation Selection of Machine Translation
We present a comparative evaluation of two data-driven models used in translation selection of English-Korean machine translation. Latent semantic analysis(LSA) and probabilistic ...
Yuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang
106
Voted
IROS
2008
IEEE
135views Robotics» more  IROS 2008»
15 years 9 months ago
Probabilistic UHF RFID tag pose estimation with multiple antennas and a multipath RF propagation model
—We present a novel particle filter implementation for estimating the pose of tags in the environment with respect to an RFID-equipped robot. This particle filter combines sign...
Travis Deyle, Charles C. Kemp, Matthew S. Reynolds
143
Voted
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
15 years 6 months ago
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
Yunpeng Cai, Xiaomin Sun, Peifa Jia
114
Voted
MICCAI
2010
Springer
15 years 1 months ago
Model-Free, Regularized, Fast, and Robust Analytical Orientation Distribution Function Estimation
High Angular Resolution Imaging (HARDI) can better explore the complex micro-structure of white matter compared to Diffusion Tensor Imaging (DTI). Orientation Distribution Functio...
Jian Cheng, Aurobrata Ghosh, Rachid Deriche, Tianz...