You can help yourself get on top of things by learning problem-solving strategies that help you to work out solutions to your problems.
学习解决问题的技巧有助于找到问题的解决方案，这可以使你在处理问题时游刃有余。
Statistical Learning Theory is based on a solid theoretical foundation. It provides an unified framework for solving the small sample learning problem.
统计学习理论具有坚实的理论基础，为解决小样本学习问题提供了统一的框架。
This partial order structure can be extended to any concept learning problem, and therefore, it plays an instructive role in all algorithms for concept learning.
这种偏序结构可以推广到任何概念学习的问题中，从而对整个概念学习的算法有着重要的指导意义。
This model adopts the improved Relevance Verifier algorithm, which not only improves the accuracy of matching, but also solves the self-learning problem.
该模型采用改进的关联决策算法，使得系统不但提高了准确率，而且还解决了自我学习问题。
This paper presents a learning problem from positive examples based on multiple valued minimization paradigm. A new heuristic algorithm for the problem is given.
本文基于多值逻辑函数极小化提出一种正例学习问题，并对这一正例学习问题给出一个启发式学习算法。
You are not stupid, you have a learning problem. (1)
你不笨，只是学习上有点问题。
Moreover, SVMs can change a nonlinear learning problem in to a linear learning problem in order to reduce the algorithm complexity by using the kernel function idea.
又由于采用了核函数思想，使它把非线性问题转化为线性问题来解决，降低了算法的复杂度。
The algorithm combines active learning, biased classification and incremental learning to model the small sample biased learning problem in relevance feedback process.
该算法将主动式学习、有偏分类和增量学习结合起来，对相关反馈过程中的小样本有偏学习问题进行建模。
Moreover, SVM can convert a nonlinear learning problem into a linear learning problem in order to reduce the algorithm complexity by using the kernel function concept.
又由于采用了核函数思想，使它将非线性问题转化为线性问题来解决，降低了算法的复杂度。
The method can transfer the learning problem into a second planning to acquire the optimal solution according to the principle of structure risk minimum under limited samples situation.
该算法能针对在样本有限的情况下，采用结构风险最小化准则，把学习问题转化为一个二次规划问题来获得最优解。
There are usually few training samples in the tasks of content-based remote sensing image retrieval, which will lead to over-learning problem while using this small data set for training.
提出一种基于多分类器协同训练的遥感图像检索方法，该方法在不同特征集上分别建立分类器，利用不同分类器的协同性自动标记未知样本，从而有效解决了小样本问题。
And classification is the basis of the common Machine Learning problem.
分类是许多机器学习问题解决的基础。
The results showed that the students on the integrated track were more positive in the knowledge learning, problem analysis and problem solving as well as clinical knowledge learning later.
结果表明，整合课程的教学对于学生在基础医学系统知识学习、分析问题和解决问题能力以及对后期临床医学知识的学习方面均具有积极的意义。
The results showed that the students on the integrated track were more positive in the knowledge learning, problem analysis and problem solving as well as clinical knowledge learning later.
结果表明，整合课程的教学对于学生在基础医学系统知识学习、分析问题和解决问题能力以及对后期临床医学知识的学习方面均具有积极的意义。
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