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» Resampling methods for input modeling
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161
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SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
15 years 4 months ago
Active Learning with Model Selection in Linear Regression
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
CORR
2007
Springer
90views Education» more  CORR 2007»
15 years 2 months ago
Mutual information for the selection of relevant variables in spectrometric nonlinear modelling
Data from spectrophotometers form vectors of a large number of exploitable variables. Building quantitative models using these variables most often requires using a smaller set of...
Fabrice Rossi, Amaury Lendasse, Damien Franç...
124
Voted
DATE
2008
IEEE
125views Hardware» more  DATE 2008»
15 years 9 months ago
Current source based standard cell model for accurate signal integrity and timing analysis
— The inductance and coupling effects in interconnects and non-linear receiver loads has resulted in complex input signals and output loads for gates in the modern deep submicron...
Amit Goel, Sarma B. K. Vrudhula
ICRA
2009
IEEE
145views Robotics» more  ICRA 2009»
15 years 9 months ago
Force estimation in a piezoelectric cantilever using the inverse-dynamics-based UIO technique
— This paper presents the estimation of the force applied by a piezocantilever dedicated to micromanipulation/microassembly. Relative to previous works, the presented method avoi...
Micky Rakotondrabe, Philippe Lutz
128
Voted
AAAI
2012
13 years 5 months ago
Colorization by Matrix Completion
Given a monochrome image and some manually labeled pixels, the colorization problem is a computer-assisted process of adding color to the monochrome image. This paper proposes a n...
Shusen Wang, Zhihua Zhang