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AI
2004
Springer
13 years 4 months ago
A selective sampling approach to active feature selection
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
Huan Liu, Hiroshi Motoda, Lei Yu
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
13 years 6 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
NN
2008
Springer
143views Neural Networks» more  NN 2008»
13 years 4 months ago
A batch ensemble approach to active learning with model selection
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
UAI
2004
13 years 6 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner
ISCAS
2003
IEEE
110views Hardware» more  ISCAS 2003»
13 years 10 months ago
Active subset selection approach to nonlinear modeling of ECG data
Christian Merkwirth, Jörg D. Wichard, Maciej ...