• The support vector machine based on statistical learning is a new type of machine learning algorithm, which has become the hot spot of academic study because of its excellent learning performance.

    基于统计学习理论的支持向量机是一类新型的机器学习算法,由于它出色的学习性能,该技术已经成为当前学术界的研究热点。

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  • Objective to explore the influence of intelligence and family environmental factors on children's learning performance.

    目的探讨智力及家庭环境因素与儿童学习成绩的关系。

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  • Quantitative and qualitative analysis to the survey shows English learning performance of college students is not satisfactory.

    调查问卷的定量和定性分析表明目前大学生英语学习绩效整体不高。

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  • But the slow learning process and low learning performance of RL becomes a formidable obstacle to prevent RL from problems with large state space.

    但一直以来学习速度慢和学习效率低的问题严重阻碍了强化学习应用于具有大规模状态空间的复杂问题。

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  • The LS-SVM classifier is adopted, which replaces inequality constraints in SVM by equality constraints. So the computation consumption is reduced and the learning performance is improved.

    并且采用了最小二乘支持向量机,用等式约束取代了支持向量机中的不等式约束,降低了运算量,提高了学习效率。

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  • Support Vector machine is a new machine-learning method and has its unique advantages in pattern recognition because of outstanding learning performance and good capabilities in generalization.

    支持向量机是一种全新的机器学习方法,其出色的学习性能和泛化能力强等方面的优势,在模式识别领域中有其独到的优越性。

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  • Support Vector machine is a new machine-learning method and has its unique advantages in pattern recognition because of outstanding learning performance and good capabilities in generalization.

    支持向量机是一种全新的机器学习方法,其出色的学习性能和泛化能力强等方面的优势,在模式识别领域中有其独到的优越性。

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