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» Structured metric learning for high dimensional problems
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ICML
2007
IEEE
15 years 10 months ago
Minimum reference set based feature selection for small sample classifications
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
Xue-wen Chen, Jong Cheol Jeong
IROS
2007
IEEE
147views Robotics» more  IROS 2007»
15 years 4 months ago
Autonomous learning of 3D reaching in a humanoid robot
— In this paper, we describe the implementation of a precise reaching controller on an upper-torso humanoid robot. The solution we propose does not rely on prior models of the ki...
Francesco Nori, Lorenzo Natale, Giulio Sandini, Gi...
JIFS
2006
120views more  JIFS 2006»
14 years 9 months ago
Building similarity metrics reflecting utility in case-based reasoning
Fundamental to case-based reasoning is the idea that similar problems have similar solutions. The meaning of the concept of "similarity" can vary in different situations...
Ning Xiong, Peter Funk
JMLR
2010
113views more  JMLR 2010»
14 years 4 months ago
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure
We study the problem of learning an optimal Bayesian network in a constrained search space; skeletons are compelled to be subgraphs of a given undirected graph called the super-st...
Kaname Kojima, Eric Perrier, Seiya Imoto, Satoru M...
ICRA
2006
IEEE
127views Robotics» more  ICRA 2006»
15 years 3 months ago
Controlling three Dimensional Swarms of Robots
— We address the problem of modeling and controlling a swarm of fully actuated point-like robots in three dimensions by generalizing the planar framework from [1]. We define a e...
Nathan Michael, Calin Belta, Vijay Kumar