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» On learning algorithm selection for classification
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ICRA
2010
IEEE
148views Robotics» more  ICRA 2010»
15 years 24 days ago
Body schema acquisition through active learning
— We present an active learning algorithm for the problem of body schema learning, i.e. estimating a kinematic model of a serial robot. The learning process is done online using ...
Ruben Martinez-Cantin, Manuel Lopes, Luis Montesan...
SDM
2007
SIAM
162views Data Mining» more  SDM 2007»
15 years 3 months ago
Probabilistic Joint Feature Selection for Multi-task Learning
We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...
Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherk...
94
Voted
CIKM
2009
Springer
15 years 5 months ago
Learning from past queries for resource selection
Federated text search provides a unified search interface for multiple search engines of distributed text information sources. Resource selection is an important component for fed...
Suleyman Cetintas, Luo Si, Hao Yuan
82
Voted
ICML
2008
IEEE
16 years 3 months ago
An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning
We show that linear value-function approximation is equivalent to a form of linear model approximation. We then derive a relationship between the model-approximation error and the...
Ronald Parr, Lihong Li, Gavin Taylor, Christopher ...
110
Voted
AAAI
2010
15 years 3 months ago
G-Optimal Design with Laplacian Regularization
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
Chun Chen, Zhengguang Chen, Jiajun Bu, Can Wang, L...