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- Learning algorithms, in statistical learning theory, can be described as greedy procedures for stagewise minimization of an appropriate cost funcation. 摘要学习理论中，许多学习算法可以描述为一个最小化适当损失函数的贪婪过程。
- statistical learning algorithm 统计学习算法
- An algorithm is presented through using structural risk minimization (SRM) based on statistical learning theory. 在研究统计学理论的基础上，提出了以结构风险最小化为目标的训练方法。
- In order to forecast the large-scale water pump running performance, the kernel algorithm of Statistical Learning Theory (SLT), Support Vector Machine (SVM), is applied. 摘要为了预测大型水泵在运行中的性能，采用了统计学习理论中的核心算法-支持向量机。
- When we play chess, do we use a learning algorithm or brute force. 当我们玩西洋象棋的时候,我们使用学问运算法则或暴力吗。
- Vapnik V N.The Nature of Statistical Learning Theory [M].NY:Springer Verlag. 边肇祺;张学工.;模式识别[M]
- The paper presents the research of learning algorithm of FNN. 摘要对模糊神经网络的学习方法进行了研究。
- Based on statistical learning theory, the SVM algorithm embodies the structural risk minimization (SRM) principle, which is more rapid more accurate, and has higher generalized performance. SVM回归法采用结构风险最小化准则(SRM)，以统计学习理论作为理论基础，运算速度快，泛化能力强，预测精度高。
- BVM(Ball Vector Machine)is a faster machine learning algorithm than SVM. 球向量机是一种比SVM更快的机器学习方法。
- The Support Vector Machines(SVM) based on ethe Statistical Learning Theory can solve this problem. 而基于统计学习理论的支持向量机(SVM) 方法正好克服了这方面的不足。
- Statistical Learning Theory (SLT) is a new statistical theory framework established from finite samples. 统计学习理论是在有限样本情况下新建立起来的统计学理论体系。
- In this paper,the outline for the theory is rigorously and popularly discribed,and an imagination about Statistical Learning Theory with Additional Information is presented. 该文严谨且通俗地描述了这一理论的概貌,并提出有附加信息的统计学习理论的设想。
- Support vector machines(SVMs) are based on statistical learning theory(SLT).It has been hot research in machine learning area. 支持向量机是一种基于统计学习理论的机器学习方法,成为当前国际机器学习界的研究热点。
- Observational Learning Algorithm (OLA) is an ensemble method based on social learning theory. 观察学习是一种基于社会学习理论的集成学习方法，以往对其研究集中于同构模式。
- Abstract: Support vector machine （SVM） is a powerful machine learning technique based on statistical learning theory （SLT）. 文章摘要: 支持向量机是建立在统计学理论之上的强有力的机器学习技术。
- Fortunately, Statistical learning theory (SLT) and support vector machines (SVM) provide methods to solve the problems mentioned above. 与传统统计学方法相比，统计学习理论是一种专门研究小样本情况下机器学习规律的理论。
- A new geometric fast incremental learning algorithm for support vector machines (SVM) was proposed. 摘要提出了一种新的基于壳向量的增量式支持向量机快速学习算法。
- To improve sonar performance in shallow water, a novel method for target localization based on a statistical learning theory's recognizer was proposed. 摘要为了提高声纳在浅水域的性能，提出了一种基于统计学习理论的目标识别器的目标定位方法。
- We then describe an entropy penalized AMS learning algorithm on Gaussian mixture. 然后，我们描述了另一种基于熵惩罚的自动模型选择学习算法。
- Support vector machines(SVM),a learning method based on statistical learning theory(SLT),can solve small sample learning problems better. 支持向量机是建立在统计学习理论上的一种学习算法，较好地解决了小样本学习问题。
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- 深远海浮式风电平台 - deep-sea floating wind power platform
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- 京雄高速公路 - Beijing-Xiongan expressway
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- 农业及相关产业增加值 - the added value of agriculture and related industries
