The course focuses on the problem of supervised learning within the framework of Statistical Learning Theory.
这个课程的重点将放在与统计学习理论架构中有关的监督式学习问题。
In this paper, we discuss the problem of using semi-supervised learning method to do video semantic annotation.
本文讨论了利用半监督学习方法进行视频语义标注的问题。
That's a very active area of machine-learning research, but it's not a solved problem to the extent that supervised learning is.
这是机器学习研究的一个非常活跃的领域，但目前研究的进展与监督式学习还是不能比拟的。
Therefore, this algorithm has solved the problem of model updating in semi-supervised learning under appropriate conditions.
该算法在一定条件下解决了半监督学习环境下的模型更新问题。
We apply a regularized diffusion framework to solve the supervised learning image segmentation problem.
将离散的正则化扩散框架应用到全监督的图像分割领域中；
We apply a regularized diffusion framework to solve the supervised learning image segmentation problem.
将离散的正则化扩散框架应用到全监督的图像分割领域中；
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