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Inductive concept learning is the task of learning
to assign cases to a discrete set of classes. In
real-world applications of concept learning, there
are many different types of cost involved. The...
Towards a Law of Invariance in Human Concept Learning
Concepts concept learning categorization law of invariance
2015/7/21
Invariance principles underlie many key theories in modern science. They provide the explanatory and predictive framework necessary for the rigorous study of natural phenomena ranging from the structu...
Per-Sample Multiple Kernel Approach for Visual Concept Learning
Per-Sample Multiple Kernel Approach Visual Concept Learning
2010/12/21
Learning visual concepts from images is an important yet challenging problem in computer vision and multimedia research areas. Multiple kernel learning (MKL) methods have shown great advantages in vis...
A New Multiple Kernel Approach for Visual Concept Learning
Multiple Kernel Approach Visual Concept Learning
2010/12/20
In this paper, we present a novel multiple kernel method to learn the optimal classification function for visual concept. Although many carefully designed kernels have been proposed in the literature ...
A New Multiple Kernel Approach for Visual Concept Learning
Visual Concept Learning Support Vector Machine Multiple Kernel Learning
2013/7/16
In this paper, we present a novel multiple kernel method to learn the optimal classification function for visual concept. Although many carefully designed kernels have been proposed in the literature ...
